a method for the prediction of detection ranges for pulsed

62
Scholars' Mine Scholars' Mine Masters Theses Student Theses and Dissertations 1960 A method for the prediction of detection ranges for pulsed A method for the prediction of detection ranges for pulsed doppler radar doppler radar Phillip Orlan Brown Follow this and additional works at: https://scholarsmine.mst.edu/masters_theses Part of the Electrical and Computer Engineering Commons Department: Department: Recommended Citation Recommended Citation Brown, Phillip Orlan, "A method for the prediction of detection ranges for pulsed doppler radar" (1960). Masters Theses. 4178. https://scholarsmine.mst.edu/masters_theses/4178 This thesis is brought to you by Scholars' Mine, a service of the Missouri S&T Library and Learning Resources. This work is protected by U. S. Copyright Law. Unauthorized use including reproduction for redistribution requires the permission of the copyright holder. For more information, please contact [email protected].

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Scholars' Mine Scholars' Mine

Masters Theses Student Theses and Dissertations

1960

A method for the prediction of detection ranges for pulsed A method for the prediction of detection ranges for pulsed

doppler radar doppler radar

Phillip Orlan Brown

Follow this and additional works at: https://scholarsmine.mst.edu/masters_theses

Part of the Electrical and Computer Engineering Commons

Department: Department:

Recommended Citation Recommended Citation Brown, Phillip Orlan, "A method for the prediction of detection ranges for pulsed doppler radar" (1960). Masters Theses. 4178. https://scholarsmine.mst.edu/masters_theses/4178

This thesis is brought to you by Scholars' Mine, a service of the Missouri S&T Library and Learning Resources. This work is protected by U. S. Copyright Law. Unauthorized use including reproduction for redistribution requires the permission of the copyright holder. For more information, please contact [email protected].

A METHOD FOR THE PREDICTION OF

DETECTION RANGES FOR PULSED

DOPPLER RADAR

BY

PHILLIP ORLAN BROWN

A

THESIS

submitted to the faculty of the

SCHOOL OF MINES AND METALLURGY OF THE UNIVERSITY OF MISSOURI

in partial

Rolla, Missouri

1960

ACKNOWEOOEMENTS

The author wishes to acknowlege the guidance and

assistance of the following persons:

Doctor R. E. Nolte of the Missouri School of

Mines and Metallurgy,

Mr. H. W. Hamm and Mr. R. Dierberg of the

Electronics Guidance Group, McDonnell

Aircraft Corporation.

ii

CHAPTER

I.

II.

iii

TABLE OF CONTENTS

PAGE

THE PROBLEM AND DEFINITIONS OF TERMS USED ••• 1

The Problem •••• a a •••• a • • • • • • • • • • • • • • • • • • • • 2

Statement of the problem •••••a•aa••a•••• 2

Justification of the problem............ 2

Definitions Of Terms Used................. 2

Characteristic radar range . . . . . . . . . . . . . . Radar cross section . . . . . . . . . . . . . . . . . . . . . Detection criterion ••••••••••••••••saaa•

False-alarm time •••aa••a•ca•ca••o•••••••

Single-look probability ••••••••••••.••••

Cumulative probability ••••••••••••••••• a

BRIEF DESCRIPTION AND THEORY OF A PUIBED

DOPPI.ER RA.DAR • • • • • • • • a • • • • a • • a • • a • • • • • • • • • • •

Description And Operation Of A Pulsed

Doppler Radar . . . . . . . . . . . . . . . . . . . . . . . . . . .

2

3

4

4

4

5

6

7

Transmitted And Received Spectrums •••••••• 8

Transmitted spectrum •••a•••••••••a•a•••• 8

Received spectrum. •••••a•••••a••a••••a••• 9

Ground clutter ••••••••••••a••a••••a••· 10

Pulsed doppler spectrum. ••••a•••••a•••• 12

Su.mm.a ry • • • • a • • • • • • • • • • a • • • • • • a • • • • • • • • • • • • 14

CHAPI'ER

III

IV

v

SINGLE-SCAN DETECTION RANGE . . . . . . . . . . . . . . . . .

iv

PAGE

15

The Normalizing Range .••••••.••••.•••.•••• 15

Definition Of Detection And The Bias Level. 20

Threshold Level . . . . . . . . . . . . . . . . . . . . . . . . . Single-look probability .................

Signal-plus-noise ..................... Signal obscuring ••••••••••••..••••••••

Suntm.a ry . • • . a • • • • • • • • • • • • • • • • • • • • • • • • • • • • • •

CUMULATIVE DETECTION RANGE .••••.••..••••••••

Cumulative Probability . . . . . . . . . . . . . . . . . . . . Approximate solution . . . . . . . . . . . . . . . . . . . .

A Procedure For Detection Range

21

23

24

25

32

36

36

37

Computation............................. 37

Definition of symbols used . . . . . . . . . . . . . . Case

Case

I

II

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .................................

Case III . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

39

40

43

44

Example problem . • • • • • • • . • • . • • . . • • . • • . • • • 45

Pulsed doppler radar parameters ..•.••. 46

Calculations . . . . . . . . . . . . . . . . . . . . . . . . . . Summary

CONCLUSIONS

.................................

......................... • ....... .

46

48

50

B IBLI OGRA..PI-IY . • . . • • • • • • • • • • • • • • • . • • . . . • . . • • . • . • • . • • • • . . 5 2

VITA • • . • • . • • • • . • • • . • • • . • • • • • . • • • • • • . • • • • • • . • • . • • • • . . • • 54

v

LIST OF FIGURES

FIGURE PAGE

Simplified Block Diagram of a Pulsed

Doppler Radar ••a•a•••aa••••aaaaaa•a••a•••D•• 7

2.

3.

4.

Frequency Spectrum of Transmitted Wave ••••aa

Ideal Receiver Spectrum of a CW Radar •••••••

Receiver Spectrum of a CW Radar ••a•a••••••••

5. Received Spectrum of a Pulsed Doppler

9

10

12

Radar •••••••• a •••••••••• a • • • • • • • • • • • • • • • • • • • 13

6. Block Diagram of One Detection Channel ••••••

7. Threshold Level as a Function of the Number

8 •

9.

10.

11.

of Variates Integrated and the False-Alarm

Probability . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Single-Look Probability of Detection in

Terms of Normalized Range (Pfa = 10-5 ) ••••••

Single-Look Probability of Detection in

' ( -6) Terms of Normalized Range Pfa = 10 ••••••

Single-Look Probability of Detection in -7) Terms of Normalized Range (Pfa = 10 ••••••

True Detection Curve and Obscuring Effects ••

12. Average Single-Look Probability of Detection

20

26

27

28

29

31

in Terms of Normalized Range •••••••••••••••• 33

13. Value of the Integral of Equation 34 in

14.

15.

16.

17.

18.

Terms of Normalized Range •••••••••a•••••••••

Flight Geometry for Case I ••••a•a•··········

Flight Geometry for Case II ••a•a••••••••••••

Flight Geometry for Case III ••••••a•••••a•••

Flight Geometry for a Collison Course ••••a••

Cumulative Probability of Detection •••••••••

vi

38

41

43

45

46

49

TABLE

I

vii

LIST OF TABLES

PAGE

OBSCURED RANGE CORRECTION FOR SINGLE-

LOOK DETECTION RANGE • • • • • • • • • • • • • • • • • • • • • • • • • 3 4

CHAPTER I

THE PROBLEM AND DEFINITIONS OF TERMS USED

Modern radar systems must provide greater detection

ranges both against high and low altitude targets because of

the significant advances in weapon speed and range. Extended

range indicates that the power transmitted by the · radar must

be increased. It follows, that ground return becomes a pro­

blem even at high altitudes.

There are at present three basic types of radars which

are (1) pulsed, (2) continuous wave, and (3) pulsed doppler

radar. The conventional pulsed radar now closely approaches

the theoretical optimum performance; however, it does not

have the inherent ability to distinguish between ground re­

turn and moving targets. The continuous wave radar has the

ability to distinguish between fixed and moving targets but

does not retain the time form of the information and also

the continuous wave radar has practical difficulties which

limit the usefulness of this system in airborne applications.

The pulsed doppler radar detects the doppler frequency shift

of moving targets, as in the continuous wave radar, while

retaining the time form of the returned information as in

pulsed radar systems.

It is important to be able to evaluate and predict

the operation of a radar as well as the comparison of differ-

2

ent radars. Range performance and detection range capabilities

are methods by which radars are compared and their operation

predicted.

I • THE PROBLEM

Statement of the problem. It is the purpose of this

study to present a method for computing the range performance

of an air-interceptor pulsed doppler radar in terms of detec­

tion ranges. The analysis of the detection range performance

includes target scintillation.

Justification of the problem. It is well established

that the prediction of radar range performance is of a

statistical nature. The literature on the analysis of pulsed

radar range performance is quite extensive, Marcum (1) (2),

Swerling (3), and Drukey (4). Few unclassified articles have

been published concerning the range performance of pulsed

doppler radar. That which has been published, Bussgang (5),

and Barlow (6), c-ontains only methods for non-scintillating

targets.

II. DEFINITIONS OF TERMS USED

Characteristic radar range. It is realized that the

range of a radar must be stated in terms of probabilities

rather than a specific quantity. The commonly accepted

3

definition of the characteristic range of a radar is: that

range at which the radar has a thirty-six point eight (36.8)

per cent probability of receiving a signal from a target of

given cross section. The target cross section is expressed

in terms of an average of its scintillating value and the

target is viewed from a partictular aspect angle.

The term •probability of receiving a signal" should

not be confused with the term "probability of detecting a

signal.• The latter term involves factors such as the number

of variates integrated, type of detection process, and the

detection tim.e.

Radar cross section. The characteristic range of a

radar is proportional to the radar cross section. The re­

sults of this study are also dependent on this quantity as

the cumulative probability of detection is a function of the

target cross section. A formal definition of the radar cross

section is •4rr times the ratio of the power per unit solid

angle scattered back toward the transmitter, to the power

density (power per-unit area) in the wave incident on the

target,• Ridenour (7). The cross section of a target depends

not only on the wave length but also upon the angle from

which the target is viewed by the radar. This angle is usually

given the term •target aspect• angle. Only for certain cases

can the radar cross section be rigorously calculated; for

most targets it is inferred from radar data itself.

4

Detection criterion. There are as many criteria for

detection as there are methods of detection. This study has

involved electronic detection; therefore, only that defini­

tion is given:i A signal is considered detected if tle output

of the post detector integrator exceeds a predetermined level.

This predetermined level is termed the threshold or bias

value.

False-alarm time. The false-alarm time of a radar

system measures the rate at which false-alarms, or noise

fluctuations that are interpreted as target echos occur.

There exist in the literature at least two different defini­

tions of this time interval, Hollis (8).

Quite possibly the most common definition of false- .

alarm time is the average interval of time between false

target indications. The false-alarm time used by Marcum (2)

is defined as the time in which the probability is one-half

(1/2) that a false-alarm will not occur.

The difference in the false-alarm times as defined

in the previous paragraph is approximately forty-five (45)

per cent; however, the probabilities of one false-alarm

occuring within their respective alarm times differ by only

about six (6) per cent.

Single-look probability. The single-look probability

of detection is defined as the probability that a signal will

exceed the threshold value during one scan of the radar antenna.

Cumulative probability. The cumulative probability

of detection is defined as the probability that a target

starting at a range Rm will be detected at least once by

the time it reaches a range Rx.

5

CHAPTER II

BRIEF DESCRIPTION AND THEORY OF A PULSED DOPPLER RADAR

The natural phenomenon known as the doppler effect

6

can be found in such fields as sound, light, and radio waves.

The doppler effect has been known since 1842, when it was

first investigated by Christian Johann Doppler. However, it

was not until 1933, that the doppler effect in radio waves

was first investigated for a practical application of de-

termining an aircraft's ground velocity for use in naviga-

tional systems. Only within recent times has the doppler

effect been investigated as applicable to a pulsed doppler

detection system.

A pulsed doppler radar detects the doppler frequency

translation of moving targets, while the time form of the

information is retained. This system differs from other

systems· which use . the doppler effect, such as moving target

indicator radars, in that the actual frequency difference

of the transmitted and received frequencies is detected and

analysed a

It is the purpose of this chapter to review the prin­

ciples of the doppler phenomenon with particular emphasis to

a pulsed doppler radar system located on a moving platform,

such as an aircraft. This review of doppler principles in

7

conjuction with a simplified hypothetical pulsed doppler

radar will illustrate the areas in which the prediction of

the range performance differs from that of pulse and con-

tinuous wave radars.

I. DESCRIPTION AND OPERATION OF A PULSED DOPPLER RADAR

A simplified block diagram, Maguire (9), of a pulsed

doppler radar is shown in Figure 1. The transmitter portion

basically consists of an r-f oscillator, a modulated power

amplifier, a pulser, and a duplexer comm.on to both the trans­

mitter, and the receiver. The r-f oscillator continuously

drives the modulated power amplifier which is turned on and

off by the square wave from the pulser. The output of the

fo •

f +fg 0 ..

Modulated Duplexer ..... _...,. Power. Allp.

Mixer

Range ~ler Gate ere

Alarm Threshold DeTice

FIGURE 1

SIMPLIFIED BLOCK DIAGRAM OF

A PULSED DOPPLER RADAR

R-F ­O•cillator

Pulser

Detector

8

amplifier is a train of discontinuous sine (or cosine) waves

in a square wave envelope. The phases of the sine waves in

each successive pulse are identical and the transmitter out­

put is coherent rather than random as in a pulsed radar.

The frequency of the returned radiation from a target echo

has been shifted from the transmitted frequency by an amount

fd called the doppler frequency.

The returned pulses, after amplification, are passed

through a range gate. A narrow band filter selects only the

central line from the pulse spectrum, thus converting the

return to a continuous wave signal. The signal is then appli­

ed to a bank of narrow band-pass. filters covering the doppler

region of interest. Each doppler (band-pass) filter is follow­

ed by a detector and a post detection integrator. The output

of the integrator is applied to a threshold device. If the

integrated output voltage exceeds the threshold, then an

alarm results which means a detection occures.

II. TRANSMITI'ED AND RECEIVED SPECTRUMS

Transmitted Spectrum

The frequency spectrum of a pulsed signal of duration

'l't which is transmitted at fixed intervals of time 1/fr is

represented by the Fourier series

00

G(t) = EP 'l'tf r ~sin TI -rtnf r

L_ 1T -i't nf r

(1)

n = -oo

where

EP - peak voltage of transmitted pulse.

1t - time duration of transmitted pulse.

f0

- carrier frequency of transmitter.

fr - pulse repetition frequency.

9

The spectrum represent by Equation 1 is shown in Figure 2.

The returned signal has a similar spectrum except each

individual line is subjected to the same phenomenon as the

single line of a continuous wave radar.

Received Spectrum

FIGURE 2

FREQUENCY SPECTRUM OF

TRANSMITI'ED WAVE

Consider first a continuous wave radar which has only

a single line spectrum. The ideal spectrum of the returned

signal from a moving target is shown in Figure 3. If the

(1) "O ~

+" ·.-4 .--..

l

E

-jfd-2VR .~ ~ I I

Tarqet I Echo

f fo+fd 0

FIGURE 3

IDEAL RECEIVER SPECTRUM

OF A CW RADAR

10

radial velocity between the radar and the target is VR, then

the doppler frequency shift is given by the equation

where

VR - relative (radial) velocity of the interceptor to the target.

A. - transmitted wavelength.

(2)

The derivation of Equation 2 is found in reference 10.

Additional doppler frequencies will appear in the returned

signal. These additional undesired signals are the result of

the aircraft moving with respect to the ground. The undesired

signals are called ground return or simply clutter.

Ground clutter. Individual irregularties on the

ground act as reflecting objects for the energy radiated

11

towards the ground. There exists a component of aircraft

velocity directed towards (or away) from these scatterers.

It is this velocity component in conjunction with the antenna

pattern of the radar that causes the returned energy to be

doppler translated, although the aircraft may not be approach-

ing or receding from the ground surface.

Ground clutter is caused by the main beam, side lobes,

and the minor lobes of the antenna pattern intersecting the

ground. Regardless of the altitude and the direction in

which the antenna main beam is pointing, ground clutter is

received from all directions. The doppler shift of the ground

return is expressed as

where

fd (clutter)= (2V1 /~) cos 8

v1 - interceptor velocity.

8 - angle between interceptor velocity vector and the direction of radar propagation.

(3)

The doppler shift · of the clutter varies continuously from

(-2V1 /~) to (+2V1 /~). The magnitude of the return at a

particular doppler frequency depends on the gain of the

antenna for that portion of the ground producing the doppler

frequency and the range of that sector of ground. The ex-

pression given is for a single forward-looking radar beam

which is suitable for motion of an aircraft in a plane. A

typical sketch of the clutter spectrum is shown in Figure 4.

Side Lobe

Altitude \ Line

Tarqet VEcho

+zv1 /).,, Frequency

FIGURE 4

RECEIVER SPECTRUM OF A CW RADAR

12

Pulsed doppler spectrum.. Each individual line of the

received spectrum of a pulsed doppler radar is subjected to

the same phenomenon as the single line of a CW radar. Figure

5 shows the spectrum appearing at the receiver of a pulsed

doppler radar. For simplicity only the central line and its

two adjacent lines are shown. In order to obtain maximum

range performance it is necessary to prevent a high closing

rate target echo from entering the side lobe clutter of the

first upper side band. This is accomplished by setting the

pulse repetition frequency high enough so that the side

bands are widely separated.

The maximum doppler shift of a target with velocity

VT is equal to 2(V1max + Vry11ax)/~; therefore, to prevent

clutter from obscuring the target echo it is necessary that

fr~ (4V1max + 2VTmax)/~. Values of pulse repetition

13

frequencies of 100,000 cycles-per-second are typical. The

necessity for a high pulse recurrence frequency results in

the range between transmitted pulses being less than the

desired maximum range. The target, therefore, appears several

times in the fundamental range interval. Special techniques

are used to determine the unambiguous range to the target.

A second consequence of the high repetition frequency

is the possible obscuring of the received signal, that is,

the signal_ returning when the receiver is gated off. A target

echo which is received near the maximum detection range of

the radar and being tracked to a minimum range passes through

the transmitter pulse a number of times.

/ I

I -I

/side I Lobe

/ /

,,,, /

/ / -

/

--------,,,,, ----...__ ',,

', Sin x ,, X -

Main Beaa

' --~ .. ' '

Tarqet Echo

FIGURE 5

RECEIVED SPECTRUM OF A

PULSED DOPPLER RADAR

- f +f o r

\ \ \ \ - \ -

\ \

14

Swnmary

The pulsed doppler radar combines the features of the

pulsed radar and the continuous wave radar. The use of high

pulse repetition frequencies permits the use of large duty

cycles thereby achieving high average power with low peak

powers. Clutter is discriminated against by exploiting the

coherence of the target echo.

Velocity ambiguities are prevented by selecting only

the central line of the returned spectrum. This filtering

reduces the signal power by the duty cycle of the signal.

In general, only a fraction of each received pulse is passed

by the range gate and. the signal · power is further reduced by

an obscuring factor e.

CHAPI'ER III

SINGLE-SCAN DETECTION RANGE

15

Chapter II illustrated the basic operation of a pulsed

doppler radara It was pointed out that only the central line

of the received spectrum is utilized in determining the pre­

sence or absence of a target and that the signal power is

reduced by the filtering action of a narrow band filter.

Possible obscuring further reduces the signal power avail­

able for detection.

It is the purpose of this chapter to account for the

effects of the previous paragraph on the characteristic radar

range of a pulsed doppler radar. The equation for the single­

scan detection range is developed by analysing the detection

device. Much of the development is drawn from work previously

done by others in connection with pulsed and continuous wave

radars.

I. THE NORMALIZING RANGE

The ratio of the signal energy available for detection

to the competing noise (or clutter) energy is the fundamen­

tal quantity of interest in the theory of radar detection.

In practice the physical quantity measured is power; there­

fore, an analysis in terms of power rather than energy is

made. The "free space• radar range equation is derived in

reference (7) and is given as

where

PS = PtG~2o­

(4.r)3 R4

Pt - peak transmitted power.

G - antenna gain one-way.

~ - transmitted wavelength.

a- - radar cross section of target.

R - distance to the target.

16

Not all of the received signal power is ultimately

used in the detection process because of receiver gating

and filtering. In general the re·ceiver gate admits only a

portion of the receiver signal pulse. This portion, or frac­

tion, is given the term obscuring factor e. The obscuring

factor is defined as the ratio of tra pulse width of the

signal after gating to the transmitted pulse width. Follow­

ing the receiver gate a filter extracts only the signal power

associated with the central line of the received spectrum.

A Fourier analysis shows that the power contained in the

central line is the product of the peak power by the square

of the signal duty cycle. The _ effective signal power, PSE,

at the input to the detector, after gating and filtering, is

watts (4)

17

where

d - transmitter duty cycle.

L - radar system losses.

The noise power with which the signal must compete is

the gated noise. A Fourier analysis of gated noise shows

that the noise power after gating is reduced approximately

by the receiver duty cycle from the standard (KT~FR). The

effective noise power, Ng' at the output of the doppler

filter is

where

watts

K - Boltzmans constant.

TR absolute temperature of the receiver.

NFR - over-all receiver noise figure.

- effective noise bandwidth of the doppler filter.

- receiver duty cycle.

( 5)

From the ratio of Equations 4 and 5, the effective

signal-to-noise ratio at the input to the detector, for a

single channel of the system, is

( 6)

In some cases, the interpulse period is gated by more

than one gate. The gate width, in such a case, is usually

assumed the same as the width of the transmitted pulse.

(

18

The minimum detectable signal power is of interest.

Expressed differently, the quantity of interest is the max-

imu.m range at which a target, of given cross section, is

detectable. As stated previously, the minimum detectable

signal is of a statistical naturea It is the practice to

calculate the characteristic radar range, R, of a radar by 0

assuming that the minimum detectable signal power is equal

to the average effective noise power. For the purpose of

evaluating R0

, it is further assumed that the target echo

falls within the receiver gate and no obscuring takes place.

The signal and transmitter duty cycles are then equal. With

these assumptions, the solution.of Equation 6 for the char-

acteristic radar range is

4 meters ( 7)

R is a normalizing quantity and should not be treated as 0

the actual detection range. The detection range of a radar

is a function of the type of detector, the number of velocity

channels, and other parameters. To express R0

in nautical

miles, the proper units and conversion ratios substituted

in Equation 7 results in

( n • mi • ) 4 ( 8 )

19

It is convenient to relate the signal-to-noise power

ratio, X, to the normalized, unitless, range quantity R/R. 0

Solving for the fourth power of the range from Equation 6

and dividing by Equation 7, the ratio becomes

where

-1/4 R/R - (X)

0

X - average of the input signal-to-noise power over all target fluctuaticns.

(9)

The analysis of a single channel detector and integra­

tor which follows is done in terms of the quantity X. A

system of Z adjacent ideal filters, each with an effective

noise band.width of Bf, has a noise power ZNg. The total

signal-to-noise ratio, X0

, at the input to the doppler filter

bank is

(lOa)

and

R/R - (ZX )-l/ 4 0 0

(lOb)

II. DEFINITION OF DETECTION AND THE BIAS LEVEL

20

If the sum of N variates of signal-plus-noise exceeds

a predetermined threshold level, calculated from the proba­

bility density function for N variates of noise alone, then

a detection occurs. The problem is one of determining the

probability of such an event occuring. This involves tracing

the probability distributions of amplitudes through various

operations. The various networks through which the signal­

plus-noise pass are shown in Figure 6. A square law detector

rather than a linear detector is assumed to simplify the

mathematics. It is shown by Marcum. (2), that the difference

in results for the linear and square law detector is so small

that extreme accuracy must be used to show the relation in

its true form.

g(t) Narrow x(t) Square y(t }_ Post z ( t ) - Band - I.Av Detector --- - -

Filter Detector Inteqrato1

FIGURE 6

BLOCK DIAGRAM OF ONE DETECTION CHANNEL

21

Threshold Level

The threshold level is determined by integrating the

probability density function of the noise voltage at the

output of the post detector integrator, for a partictular

false-alarm time or false-alarm probability. It is generally

assumed that the combination of shot, thermal, and cosmic

noise can be represented by the real gaussian distribution

p(g) = 1

J211'1g

2 2 exp { -g / 2 '1g) (11)

The probability density function of the noise envelope, V,

when passed through a linear narrow-band filter is given by,

Davenport (11)

2 2 2 p{V) = (V/rg) exp {-V /2rg) For V? 0 (12)

Since the detector input is a narrow-band gaussian random

process, then

x(t) = V cos (wet+ 8) {13)

The output of the square law device is

Passing y through an ideal low pass filter, a·filter which

will pass without distortion the low frequency part of its

input and filter out completely the high frequency part,

the output of the post detector integrator is

2 z = av / 2 (15)

22

The probability density function of the normalized

post detector integrator output, v = z/ (a o-:2 ), is x

p(v) = exp (-v) (16)

The value of the density function for an input of N variates

of gaussian noise is 00

PN(v) = (1/2rr) J @1

(pl) N e -pv dp (17) -oo

where c1 {p) is the characteristic function of one variate

of the variable v. The integral of Equation 17 is obtained

by the transform pair 438, Cambell and Foster (12), by re-

placing p by -p. The characteristic function for one variate

is (JO

cl= Je-vepv dv - 1/(1 + p) (18}

and -oo

(19)

From transform pair 431, Campbell and Foster (12), the

probability density function for N variates is

(V) = vN-le-V dV ~ (N-l)I .

(20)

The probability of a false alarm, P fa, .occuring in

a single velocity channel is then, by definition, 00

p = JvN-le-V dV (21) fa (N-1)1 v .

T

23

The probability of a false alarm in a single velocity channel

is related to the post detection integration time, Ti, and

the single velocity channel false-alarm time, Tfa' by the

expression, Bussgang (5),

- TI /Tf 1 a (22)

Equation 21 now becomes ao

(T./T ) =j-yN-le-V dV (23) 1 fa (N-I)!

VT

In terms of the Incomplete Gamm.a Function, Pearson (13), u{p+l)l/2

I{u,p) = Je -v;P dv (24) p !'

0

Equation 23 becomes

(25)

from which the bias level is determined. Curves of the thres-

hold as a function of N and Pfa' as calculated by the author

of this thesis, are given in Figure 7.

Single-Look Probability

Marcum (1) and Bussgang (5) treats the single-look

probability of detecting a target in which the amplitude of

the returned signal pulses are not fluctuating. Swerling {3)

extends some of Marcums results to account for several kinds

of target fluctuationsa The type of targets considered in

24

this study are jet aircraft, missiles, and similar targets

in which the returned power is assumed constant for the time

on target during a single scan. However, the returned signal

fluctuates independently from scan-to-scan. This is Swerling's

Case,!.

Signal-plus-noise. The input signal-to-noise power

ratio has the probability density function, Swerling (3)

p(X,X) = (1/X) exp (-X/X) For X >O (26)

The probability, Ps, that N variates of signal-plus-noise

exceeds a given threshold on one look (scan) is, for N equal

to one

(27a)

For N greater than one, the expression for the probability is

P8

- 1 - I[!T/(N-1)112, N-~ + (1+1/NX)N-l •

• I~T/(N-1)1 / 2 (NX+N-l)(Nl'.)-l, N-~ exp (-VT/1-tfa)

(27b)

As shown by Swerling (3), for the cases of N~l and

the false-alarm time per channel is large, then the gamma

functions are very nearly unity and Equation 27b is approx­

imated as

(28a)

25

or

This is the expression for the probability that a target of

given cross sectional area is detected by range Rx during

one look, one scan of the antenna. The curves and data pre­

sented in the remainder of this thesis were computed by the

author. Curves of the single-look probability of detection

are shown in Figures 8, 9, and 10 for false-alarm probabilities

1 -5 -6 -7 of O , 10 , and 10 respectively. These curves do not

account for the possible effects of obscuring of the returned

signal.

Signal Obscuring. The high pulse repetition frequency

of a pulsed doppler radar leaves a very small receiving time

between transmitted pulses. For distant targets, it is quite

probable that the returned signal or a portion of the return­

ed signal arrives while the receiver is gated off -. The result

is a decrease in the single-look detection probability.

Figure 11 illustrates the obscuring of the returned pulse

and its effect on the single-look detection curve.

The transmitted pulses of energy are r~presented in

Figure lla. The effect on the normalized range of the signal

returning at various instants of time is shown in Figure llb.

Figure llc shows the single-look probability of detection in

terms of normalized range for various values of signal obscuring.

Cf)

~ 0 > . U) . ::i:

20

15

10 9

8

7

6

5

4

c

a

n

a ()

0

o.---_____.

. .

o..--- -----o~ -

OL----'"

~ ~

~

~

~

-~ -

v . .

..

. .

x-sc - ~

--------------If!!' ____......

~

~ --H•3C ____.

--------- ~ ~

~ N-20 ~ --

~ ~

~ M•lC

/ /

/ ~

•,

~ .,,,,,,.

' N•l ··. : /

26

~,,, ~~ _,, ,.

,,/ .,,,,,. ,,,,,,, - ,,. ,,,_. .,,,, .,,~ ~,,. ~' ,,, .,,,,,, ,_, ,,,, . .,,,,,,,

__..,-"' •. / ~~

~· ,,,~ /~

~/

~' . ./ ,,,

/ ~,

v

~ v /

/ /

. -

10 1 1.s 2 2 .s 3 4 s 6 7 8 9 10

LI\ (~fa>

FIQURE 7

THRESHOLD LEVEL AS A FUNCTION OF THE NUMBER OF VARIATES INTEGRATED AND THE FALSE-ALARM

PROBABILITY

27

99-------------------------...... ---....--...---.~-r--..--. P • 10·

981r--1--~-+---+~--.-------~~------.----+-~....-----t~-...--..---.

pfa - Ti/ZTFA go~.....-~~-...--....-_.,--...-----4

TFA ~ FALSE-ALARM TIME

8 0 r--+---1iit--11r-1-_,...,.._--+_...,.______. Ti .. P • D • I • TIME

~ I • IIUIIBER OF VARIATES ~ 10~....---+--. .............. ~~..._........ IRTEGRATED

60i--'"\'t---+---+-....._ ..... .......,.....,_+-~ Bf

50t---t-r1~-+---+--........ ~~__...,. ...... ~ z

40r--~~t--~--~_.....~,.._ .......

• DOPPLER FILTER BAKDWIDTH

- IIUMBER ·oF DOPPLER FILTERS

UARE LAW DETEC OR 30~-r-~~-+---+---4~__....___._ .............. ...-.-.--=-......----.-------.------------4

2~--+-~+-__. __ ........ ~t---_... __ ........ ~~ ...... ---....... _..~-...---...-......

11---+---+-__. __ ....... __ "'-....... --........ ~t---_..,...,_....,._.......,.__.._...__...._ ......

o.s~_._~...,___. __ ....... _____ ~--...... --t---_...____..,._--4~-.-........ ....,_ .....

0.21----+-~+-~----_,._--1---+~ ...... -----_...--...... ~---....---~--1 0.1~-----~ ....... --~ __ .__,.... __ ...._~ ............... --........... ---~--J~r-ll

.4 .6 • R/R • ACTUAL RANGE

o NORMALIZING RANGE

Flg(JJl£ 8

SINGLE-LOOK PROBABILITY OF DETECTION IN TERMS OF NORMALIZED RANGE

99----~--~--------------------~------------------98.,._-+-~-+-~-+-__.~-.-~---------+-~-+-~-t-----.~---+-~-.---1

P = 10- 6 fa

: pfa = Ti/ZTFA go..--~.-......_~..---+---+---....-~

TFA - FALSE Al.AR)( TIME

8 O t----+---....--+1.---...~--+---+---+--~ T . - P • D • I • T IKE 1

- NUMBER OF VARIATES INTEGRATED

501---++-~-+-~~--+------.......-..--+-___..

40..--~----+-~-+-_..._. __ ...._...~ ...... ___,. Z

- DOPPLER FILTER BANDWIDTH

DOPPLER

30~---'--+-4-~+--+-',..--+-~~~~~"6MMll-...... .,.._~llt..a&J~~--___,

0. 5 .

0.2t----+--....,_--+-_..., __ ...... ~-+-----4~-+----+---.+--+~--+-...... -+--......

O.l'--_...~...._~...____... __ _.__...___....._ .......... __ .-_~ ......... -----------•4 .6 .8 1.0 1.2 1.4 1.6 1.8

ACTUAL RANGE R/Ro - NORMALIZING RANGE

FIGURE 9

SINGLE-LOOK PROBABILITY OF DETECTION IN TERMS OF NORMALIZED RANGE

99

98

95

· 90

80

70

60

50

40

30

20

10

5

2

1

o.s

0.2

0.1

~ ~ \

\

\ \

.4

29

Pc -10•"/ •• .

~ · pfa - Ti/ZTFA .

~ ~ TFA • FALSE-ALAR)I TIME

\ Ti • P.D.I. TDIE

\ ·'\' ~ I • IUJIBER OF VARIATES IJITEGRATED

~' '~ " Bf - DOPPLER FILTER \ ~\ ~~ BAHDWIDTH

~ .

. '\ ~'\ ,'\ z - KUIIBER OF DOPPLER FILTERS

\ ' ' ~'\ ~ ' Ai n&w IAll u•. 1".l~l]}i

\ \ \ l\.' I\. \ \ \ ~ \ " \ \ ;~ ~ " v:· •l \ 18 ~ ~ ~o '\ .·

\ \ ,-~ ~~ " .\ · \ \ \ ~ '\ ~

\ \

" ~ "' ~ .

i\ \ ' ~ ~

' \. • 6 •• 1 • J 1.2 1.4 1.6 l.

R/i • ACTUALRANGE o NORMALIZING RANGE

FI<aJII 10

SINGLE-LOOK PROBABILITY OF DETECTION IN TERMS OF NORMALIZED RANGE

8

30

The true single-look detection curve, shown in Figure

lld, is constructed by repeated application of Figures llb

and llc. The ratio of the signal and transmitter duty cycles

and thus the true detection curve depend on the rate of

closure between the radar and target and the position at

which the target enters the field of view of the radar. It

is quite laborious to construct the true detection curve each

time a different closing velocity is desired or a radar param­

eter is changed.

It is equally probable that the returned signal will

arrive at any time in the period T if the exact position of

the radar and target is unknown. ·An average single-look de-

tection curve is calculated to account for the obscuring

effect by dividing the period into twenty equal divisions.

A detection curve is constructed for each division. If the

recovery time of the TR tube is assumed negligible, the ratio

of the signal to transmitter duty cycle is symmetrical about

T/2. Only the average of ten curves are then necessary to

construct the average curve. Figure 12 illustrates the aver­

aging of the single-look detection curve for N = 1, Pfa = 10-5 ,

and a transmitter duty cycle of 0.25. The enclosed number by

the solid curve indicates that its value is weighted by the

factor 5.

The ratio of the normalized range between the unobscur­

ed detection curve and the average detection curve is constant

·31

~49',.. . ~n nL..-_n..___ ____ n_. _ T ~T~ Time

(a) Transmitted Pulses ·

R · a_ fd;r. _y&----- -......iy......___y _____ j ~ ~at.~

Time .

(b) Obscuring Ratio

+' ~

100 Cl> CJ

M 80 a>

60 Cl.

~ 40 · H

Ill 20 Cl.

0 0 .1 • 2 .3 .4 .s • 6 . .7 .. • a

.fJ c: Q)

0

M

d! c:

H

0 • Cl.

100 ·ao 60 to 20

0

.. Normalized R•IM1•

(c) Sinqle-look Propability

.1

'\ j~ ~ , I "I

\ I \ ~~ ....

\. I ' ~ ·

\/ '\ .. ~ ~ii .3 • 4 .. s . .6

lorlllllized Ra11qe . ·

(d) True Detection CurYe

· FIGURE 11

TRUE DETECTION CURVE AND OBSCURING EFFECTS

-.~...._

.1 • 8

32

for constant values of (1) the single-look probability, (2)

the false-alarm probability, and (3) the transmitter duty

cycle. It is necessary to determine this correction ratio,

R, for one value of N for each given false-alarm probability c

and transmitter duty cycle. The average single-look detection

curve is obtained for a different value of N by multiplying

the unobscured detection range, for each given value of prob-

ability, by the corresponding value of the correction ratio.

The correction ratio was computed as illustrated in the pre-

vious paragraph for transmitter duty cycles of 0.25, 0.5, -5 -6 -7 and false-alarm probabilities of 10 , 10 , and 10 • The

results are presented in Table I.

Summary

Chapter III treated the single-look detection range.

A normalizing range was developed to relate the signal-to­

noise power ratio. Equations for the threshold level and un­

obscured single-look detection probability were given in

terms of false-alarm time, post detection integration time,

and the number of variates integrated.

A part of the returned signal energy is generally not

available for detection because of the high pulse repetition

frequency. A method was given to approximate the signal ob­

scuring effect on the detection probability. Average single­

look detection curves are computed by the use of Figure's

8, 9, and 10 and Table I.

N --....-4 w

Ul t:l.

I

~ Pal C..>

~

~ ~ H

z 0 H

t3 ~ E-4 ~ A

~ 0

~ H ~ H

I Cl..

33

Pfa-10-~d-0.25 9u-----~....__......,_...._ __ +-_____________________ .....

·a

7

6 \ \

5

4

3

') L,

10

5

2

1

o.s

0.2 0.1

0 •. 2 .4 R/R •

0

.6

pfa =- Ti/ZTFA

T • FAIBE-AIARJ( FA TIME

Ti • P. D. I. TIME

N =- NUMBER OF VAR.­IATES INTEG.

B f • DOPPLER FILTER BAJIDWIDTH

Z =- NUMBER OF DOPPLER FILTER

\ ~

SQUARE IAW DETECTOR

.8 1.0. 1.2 ACTUAL RANGE

NORMALIZING RANGE

FIGURE 12

AVERAGE SINGLE-LOOK PROBABILITY OF DETECTION AT RANGE R IN TERMS

OF NORMALIZED RANGE

34

TABLE I

OBSCURED RANGE CORRECTION FOR SINGLE-LOOK DETECTION RANGE

Per Cent Transmitter Duty Cycle Transmitter Duty Cycle Single- of 0.25 of 0.5 Look Detection False-Alarm Probability False-Alarm Probability Range

10- 5 10- 6 10-7 10-5 10-6 10-7

95.0 0.5215 0.5514 0.5485 0.4154 a. 37 65 0.3418

90.0 0.5759 0.6003 0.6000 0.4528 0.4286 0.4158

85.0 0.6320 0.6354 0.6425 0.4990 0.4660 0.4630

80.0 0.6722 0.6727 0.6831 0.5172 0.5014 0.5044

7 5 .o 0.7127 0.7161 ·0.7156 0.5448 0.5313 0.5374

70.0 0.7462 0.7481 0.7429 0.5726 0.5605 0.5617

65.0 0. 7697 0.7783 0.7712 Oa5921 0.5854 0.5879

60.0 0.7886 0.7942 0.7864 0.6127 0.6052 0.6068

55.0 0.8089 0.8130 0.8090 0.6326 0.6288 0.6294

so.a 0.8276 0.8316 0.8252 0.6521 0.6445 0. 6471

45.0 0.8413 0.8494 0.8428 0.6692 0.6657 0.6650

40.0 0.8553 0.8552 0.8518 0.6839 0.6824 0.6790

35.0 0 .8670 0.8680 0 .8677 0~6982 0.6989 0.6984

30.0 0.8812 0.8787 0.8808 0.7077 0.7188 0.7136

25.0 0.8947 0.8912 0.8901 0.7342 0.7340 0.7270

20.0 0.9024 0.9023 0.9022 0.7496 0.7521 0.7460

15.0 0.9137 0.9157 0.9132 0.7667 0.7708 0.7653

10.0 0.9231 0.9281 0.9249 0.7842 0.7904 0.7879

35

TABLE I (continued)

Per Cent Transmitter Duty Cycle Transmitter Duty Cycle Single- of 0.25 of 0.5 Look Detection False-Alarm Probability False-Alarm Probability Range

10-5 10- 6 10-7 10-5 10- 6 10-7

5.0 0.9412 0.9393 0.9371 0.8089 0.8152 0.8136

2.0 0.9451 0.9489 0.9509 0.8305 0.8333 0.8380

1.0 0.9468 0.9416 0.9548 0. 8383 0.8439 0.8492

0.5 0.9585 0.9515 0.9558 0.8385 0.8489 0.8602

0.1 0.9548 0.9590 0.9570 0.8534 0.8643 0.8711

36

CHAPTER TV

CUMUIATIVE DETECTION RANGE

It is of interest to estimate the probability that the

target is detected by the time it has reached a specific

range, R. It is the purpose of this chapter to use the single­x

look: detection curves (average) of Chapter III to predict the

cumulative detection range for several flight geometries. An

approximate solution of the cumulative equation and the limit

of the radar aspect angle is considered.

I . CUMUIATIVE PROBABILITY

Assume a target enters the radars field of view at a

range R1/R0

• The cumulative probability that the target is

detected at least once by the time it reaches a range R /R X O

is

Rx/Ro Pc= 1 - rr,' ~ - Pso(R/RoJ

Rl/Ro

(29)

The range progresses from R1 /R0

to Rx/R0

in units of !::,.R/R0

The length of the normalized increments is determined by

where

(30)

TF - time required for the radar to complete one fra.xne.

Approximate Solution

Equation 29 is rewritten as

R /R Pc= 1 - exp ~ Ln [! - P

80(R/R

0})

R1/Ro

37

(31)

If the increments l:lR/R are sufficiently small to allow neg­o

ligible change in the P value, then the summation is approx­so imated by an integral. Equation 31 becomes

.J, Rx/Ro } Pc= 1 - exp l(R

0/VRTF) S Ln Q- - P

80(R/RJ d(R/R

0) (32)

R1/Ro

Numerical integration must be performed, when applying

Equation 32, using the data supplied by Figures 8 through

10 and Table I. Figure 13 shows the value of the integral of

Equation 32 for a transmitter duty cycle of 0.5, N = 10, and

a false-alarm probability of 10-7 • The use of this curve is

illustrated by an example problem later in the chapter.

II. A PROCEDURE FOR DETECTION ·RANGE COMPUTATION

The procedure for computing the cumulative probability

of detection depends on the geometry associated with the

interceptor, target, direction of radar propagation, and the

range at which the target enters the radars field of view.

Several cases of flight geometry are considered in the follow­

ing paragraphs. The procedures are given in step form for

-0 p.:; --p.:; -1J

s:a.. 0

-.

-10-

c .. '" " l"

2

3

4

,38

-lP -fa ilO-'

" 11-10

K daii:Q • ~

~

\..

' ' " ' \. "" "\

I\ ' - ..

'\.

\. \.' \

' ~ \

\ •'

.4 -.6 .8 R/R

0 • ACTUALRANGE

. NORMALIZING RANGE

FIQUII 13

VALUE OF INTEGRAL OF EQUATION 34 IN TERMS OF NORMALIZED RANGE

\

\ · \ \ ·\ \ _\

' \ ' \

1.0 1.2

ease of following the computations and in programming the

solution for a digital computer.

39

The first general step is to test the given angles,

which are defined in the following paragraph, to determine

the procedure to follow. The first step is:

(a) if a f nor 2rr: compute following the procedure of Case I.

(b) if a = n and n = e = 2rr ; compute PX X

following the procedure of Case II.

(c) if a= 2n, ~x f n, and ex~ 2rr; compute following the procedure of Case III.

Definition Of Symbols Used

The subscript x when used with a symbol indicates an

initial or given condition. The symbols used in the following

procedures are defined as:

e - angle enclosed by the interceptor line n of flight and the direction of radar propagation on the nth scan. (e is the . m maximum antenna look angle)

~ - radar aspect angle on the nth scan. n

a - angle enclosed by the interceptor and target lines of flight.

w - antenna angular rate of rotation.

& - radar beamwidth at the half-power points.

R - slant range between interceptor and n target on the nth scan.

~ - slant range at which it is assumed the target enters the radars field of view.

~n - targets range on the nth scan.

Rin - interceptors range on the nth scan.

D - hortizontal range between target and n interceptor on the nth scan.

C - perpendicular range between target and interceptor.

Ad - antenna diameter.

v1 - interceptor velocity.

VT - target velocity.

40

Case I. The geometry for two examples of flight con­

ditions is shown in Figure 14. The doppler shift of the

target represented in Figure 14a always occurs in the non­

clutter region if cos f3n(n/2. A. procedure for computing

the cumulative probability of detection by slant range R is x

outlined by the following steps.

1.

2.

3.

4.

~x t x

= R (sin 8 )/sin a. x . x

= ~x/VT •

= (Rxsin f3x)/sin a.

- -VIRa+VT~x+(VTRix-VI~x)cos a 2 2

VT+ VI - 2VTVI cos a

2 2 2 -(RI +R~ +2R- RI cos a - R) x --'l'x -... l'x x m

5.

6.

7.

8.

9.

10.

11.

Iater<Ntptor ____..

. (a)

l__TarCJet (b)

FIGURE 14

FLIGHT GEOMETRY FOR CASE I

Rrro = R.rx - VTto • e = arc sin (RT -R- )sin a/R • o · x --'l'o -m.

Check 1e0

f against teml • If 1e0 I> Jeml stop, no detection is possible.

t30

= 11 - (80

+ a) •

Obtain the value for o- (13 0 ) •

Compute R from Equation 8. 0

41

12 • N = ( oB f ) I w •

13. Pfa = Ti/Tfa •

14. Compute ~/R0

and read the value of Pso(o) from the curve corresponding to the values obtained in steps 12 and 13 and the trans­mitter duty cycle.

15. ~n = VT (t 0 + nTF) •

16. Rin = VI (t 0 - nTF) •

17. Rn = (~ + R~n - 2~nRin cos a)1

/2

18. en = arc sin (~n sina)/Rn.

19.

20.

Check fenl against Jeml as in step 7.

Q = 11· - ( 8 + a ) • ..,n . n

21. Obtain the value of O""'(f3 ) • . n

22. Compute R0

from Equation 8.

42

23. Compute Rn/R0

and read the curve of Pso as in

step 14 to obtain P ( ) • son

24. Repeat steps 15 through 23 letting n = 1, 2, 3, ••• until R = R • n x

25. Compute Pc from Equation 29.

The doppler ·frequency associated with the target in

Figure 14b always occurs in the clutter region if the target

velocity is less than or equal to the interceptor velocity.

The method of this study can not be used to predict the de-

tection range. The equations developed are based on non-

correlated samples. This particular geometry is not consider­

ed in this thesis.

43

Case II. The flight geometry for Case II is shown in

Figure 15. This is seen to be a head-on collision course

which always results in the target's doppler appearing in the

clutte-r free region.

Tarqet 1 t ~ , C'\a. n erceptor 7 • ~ 4

FIGURE 15

FLIGHT GEOMETRY FOR CASE II

A procedure for computing the cumulative probability

of detection by range R is outlined by the following steps. x

1.

2.

3.

4.

t 0

6

N

Pfa

=~/(VT+ VI).

- 27.55 ("A./ Ad).

- ( 6Bf) /w •

- Ti/Tfa •

5. Compute R0

from Equation 8.

6. Compute Rm/R0

and read the value of P so(o) from the curve corresponding to the values obtained in steps 3 and 4 and the trans­mitter duty cycle.

7 • Rn = (VT + VI ) ( t O

- nT F) •

8. Compute Rn/R0

and read the curve of P60

as in step 6 to obtain the value of P ( so n) •

9. Repeat steps 7 and 8 • Stop when Rn=

10. Compute Pc from Equation 29.

R • x

44

Case III. Figure 16a illustrates an anti-parallel

flight path. A procedure for computing the cumulative prob­

ability of detection by range Rx is outlined by the following

steps.

1. C = Rx sinl3x.

2. Do - (R! - c2)1/2 •

3. t0

- D0

/(VT + VI).

4. 130

= 80

= arc sin (C/~).

5. Compare f B0 J with jeml • If f e ol>J emJ set P ( ) equal to zero and proceed to step 11. so O

6 • o - 27 • 5 5 (1'../ Ad) •

7 • N - ( &Bf ) / w •

8.

9.

10.

11.

12.

13.

14.

15.

16.

pfa = Ti/Tfa •

Compute R0

from Equation 8.

Compute R /R and read the value of P ( ) -"'ln O so O

from the curve corresponding to the values obtained in steps 7 and 8 and the trans­mitter duty cycle.

Dn = (VT + VI)(to nTF).

Rn - (D2 + c2)1/2 n •

'3n = e n = arc sin (C/R ) • n

Compare l8nl with I eml as in step 5.

Obtain the value for er ( 13n) •

Compute Ro from Equation 8.

45

R dx · Interceptor

Tar99t . (a)

\ _Interceptor

(i,)

FIGURE 16

FLIGHT GEOMETRY FOR CASE III

17. Compute Rn/R0

and obtain the value for Pso(n) as in step 10.

18. Repeat steps 11 through 17 for n = 1, 2, ••• Stop when R = R n x

19. Compute Pc from Equation 29.

The parallel flight geometry illustrated in Figure 16b

is quite similar to the geometry of Figure 14b. This partic-

ular configuration is not considered for the same reasons

given in Case I.

Example Problem

To illustrate the use of the curves and equations, an

46

example problem is givena The approximate solution for the

cumulative probability of detection is used to illustrate its

advantages under certain cond.itionsa

borne

which

Pulsed doppler radar parameters. Assume that an air-

pulsed doppler radar has the following parameters:

pt - 2000 watts w -

d - 0.5 T. -l

I\. - 3.2 cm. TFA -

Ad - 32 inches z -

Bf - 357 c.p.s. TF -

L - 31.6 a- -

Calculations. Figure 17 illustrates a

is a special consideration of Case

VI= Mach 1

VT = Ma. ch O. 9

f3 -= n/6

Target

Interceptor

FIGURE 17

FLIGIIT GEOMETRY FOR A COLLISON COURSE

I.

100 deg. I se.c a

0.03 sec.

500 sec.

600

3 sec.

10 sq. m.

collison course,

The number of

47

computations is reduced by the use of the approximate solu-

tion when a collision course exists. The radar aspect angle,

the antenna look angle, and the relative closing velocity

are invariant. The cumulative probability of detection is

computed from an assumed range~ of 1.1 R0

to zero rangea

The results are shown in Figure 18. The probability of de­

tection is found from the following steps:

la Compute the antenna gain.

G = 35.25 (Ad/;....) 2 = 35.25 (32/3.2) 2 - 3525

2. Compute R from Equation 8. 0

R - 1.012 (2xl0 3 )(3525) 2 (3.2) 2 (0.5)(10) 0

(357)(31.6)(1 - 0.5) R = 115.6 nautical miles.

0

3. Compute the closing velocity.

VR = G-T cos 13 + VI J 1 - (VT/V1 )2sin2~ (0.159)

VR - c 9 ( .866) + J 1 - (. 9 ) 2 (. 5) 2 J ( 0 .159)

VR - 0.2548 nautical miles per second.

4. R0

/VRTF = (115.6)/(0.2548)(3) = 151.2

5. o = 27.55 (;..../Ad)= 27.55 (3.2/32) = 2.8 deg.

6 • N = c oB f > I w = c 2 • 8 }( 3 s 7 ) / 1 o o = 1 o

7. Pfa = Ti/(ZTFA) = (0.03)/(600)(500) = 10-7

8. Obtain the value of the integral of Equation 34 at R/R = lal from the figure corresponding to the vafues of steps 6 and 7. For this ex­ample the figure is Figure 13 and the value obtained is (-0.000216).

Summary

48

9. Compute the value of Pc at R/R0

equal to 1.1 by Equation 34.

Pc= 1 - exp -{151.2)(0.000216) = 0.03217

10. R = 1.1 R0

- {l.1){115.6) = 127.16 n. mi.

11. Repeat steps 8, 9, and 10 until the desired minimum range is reached.

The cumulative probability of detecting a target of a

given cross section at least once by the time it has reached

a range Rx was treated. Only targets having their associated

doppler frequencies in the non-clutter region are soluble by

the methods presented.

Procedures for computing the cumulative detection

ranges are listed for three general cases. An approximate

solution and an example of its use is given to illustrate

the reduction in the number of computations from the general

procedure when a collison course exists.

49

0 10(

~ . . ~ I • ~ 9( tj \ · ~

80 ff ~ H

:z; 7C 0

\

\ /

. I\

\ H

tJ &: ~ ~

.\ . ·. \ :

~ 50 .... . 0 .-.,./ · .. \ .

~ ,, . H ,_ . ~ H \

I 30 . \ '

~ 20

~ 10 !

0

\ \

. ·"'~· ·O . . 20. 40 60 80 100 120

RANGE

FIGURE 18

CUMUI.ATIVE PROBABILITY OF DETECTION

50

CHAPTER V

CONCLUSIONS

This study presents a practical, although an approxi­

mate, solution for the detection range performance of pulsed

doppler radars. The equations presented are based on (1) in­

dependent samples, (2) target scintillation, (3) the target

and the interceptor are in the same geometrical plane, and

(4) the target doppler occurs in the clutter free region.

The curves and procedures given are applicable to most

radars. The curves presented can be applied to the prediction

of detection range performance-of pulsed and continuous wave

radars with few or no modifications.

It is felt that the procedure presented in this thesis

is sufficiently accurate for a rapid solution of the detection

capabilities of a pulsed doppler radar. This solution then

allows a comparison to be made between different radars such

as pulse, continuou_s wave, or pulsed doppler radars.

It is neces·sary to develop the threshold level and

the single-look detection equations for correlated samples

before it is possible to predict the detection range against

targets whose dopplers occur in the clutter region.

Three dimensional flight analysis should be investi­

gated to establish the limits of the procedures presented

51

in this study. Comparison of the theoretical detection

ranges with the experimental data, as it becomes available,

is necessary to establish the validity of the theoretical

procedure.

1.

2.

3.

4.

5.

6.

7.

8.

52

BIBLIOGRAPHY

J. I. Marcum, "A Statistical Theory Of Target Detection By Pulsed Radar-Mathm.etical Appendix," Research Memorandum 753, The Rand Corporation, Santa Monica,

J. I. Marcum, •A Statistical Theory Of Target Detection By Pulsed Radar,• Research Memorandum 754, The Rand Corporation, Santa Monica, California,-rg-47.

P. Swerling, "Probability Of Detection For Fluctuating Targets," Research .Memorandum 1217, The Rand Corporation, Santa Monica, California, 1954.

D. L. Drukey, "Radar Range Performance,• Technical Memorandum No. 277, Hughes Aircraft Corporation, Culver City-;-t!aTITornia, (April 1954).

Bussgang, Nesbeda, and Safran, "A Unified Analysis of Range Performance of CW, Pulse, and Pulse Doppler Radar," Proc. I. R. E. Vol. 47 (October 1959), 1753-1762. --- --- --

Edward Barlow, •Doppler Radar," Proc. I. R. E. Vol. 37 (April 1949), 340-355. -- -- --

Louis Ridenour, Radar S~stems_En~ineering. Vol. 1 of The Massachusetts Institute of echnology Radiation I:a:E'oratory Series Edited by LOuis Ridenour. 28 vols. New York and London: McGraw-Hill Book Company, 1947.

R. Hollis, "Fals.e Alarm Time in Pulse Radar," Proc. 1.:. !h "E. Vo.l. 42, (July 1954), 1189.

9.- W.W. Maguire,· •Application Of Pulsed Doppler To Air­Borne Radar Systems," Proc. National Aeronautical Conference (1958), 291-295.

10.

11.

The Doptler Effect And Its Aptlication To Do~ler -,ra'viga ors. The Ryan Aeronau ical Company,ectronics

Division Kearny Mesa Plant, San Diego 12, California.

Davenport and Root, Random Signals and Noise. New York and London: McGraw-Hill Book Company, 1958.

12.

13.

Campbell and Foster, Fourier Integrals for Practical Applications. New York and London: D. Van Nostrand Company, 1948.

K. Pearson. Tables of the Incoafutete Gamma-Function. Cam.bridge University Press, C ridge, England, published by Biometrika, 1946.

53

54

VITA

The author was born October 6, 1931, at Phoenix,

Missouri. He attended elementary and high school at Monett,

Missouri.

In December 1948, he accepted employment as agent­

telegrapher for the Eastern Division of the St. Louis-San

Francisco Railway Company. He entered the United States Air

Force in June 1949. He attended the ground radar technicians

school at Kessler Air Force Base, Mississippi. Upon completion

of the school, the remaining two and one-half years were spent

as a radar supervisor and technician at McCord Air Force Base,

Washington. In December 1952, he was honorably discharged and

returned to the employment of the St. Louis-San Francisco

Railway Companya

In September 1953, he enrolled at the Missouri School

of Mines and Metallurgy at Rolla, Missouri. He completed the

requirements for . the Bachelor of Science Degree in Electrical

Engineering January 1957, at which time he enrolled in the

graduate school and became a member of the faculty as an

instructor in Electrical Engineering.

Industrial experience to this date includes summer

employment and consulting positions with the McDonnell Air­

craft Corporation at St. Louis, Missouri.