synthetic aperture radar_advanced
TRANSCRIPT
Register online at www.ATIcourses.com or call ATI at 888.501.2100 or 410.956.8805 Vol. 97 – 25
**Includes single user RadarCalc license for Windows PC, for the design of airborne & space-basedSAR. Retail price $1000.
What You Will Learn
• Basic concepts and principles of SAR.
• What are the key system parameters.
• Performance calculations using RadarCalc.
• Design and implementation tradeoffs.
• Current system performance. Emerging
systems.
What You Will Learn• How to apply SAR to the design of high-
resolution systems.• How to design and build high performance
signal processors.• Design and implementation tradeoffs using
RadarCalc.• SAR activities in DoD, NASA and commercial
applications.• Current state-of-the-art.
Synthetic Aperture Radar
Fundamentals
May 4-5, 2009Chantilly, Virginia
Instructors:
Walt McCandless & Bart Huxtable
$1290** (8:30am - 4:00pm)
$990 without RadarCalc software
Advanced
May 6-7, 2009Chantilly, Virginia
Instructor:
Bart Huxtable
$1290** (8:30am - 4:00pm)
$990 without RadarCalc software
Course Outline1. Applications Overview. A survey of important
applications and how they influence the SAR systemfrom sensor through processor. A wide number of SARdesigns and modes will be presented from thepioneering classic, single channel, strip mappingsystems to more advanced all-polarization, spotlight,and interferometric designs.
2. Applications and System Design Tradeoffsand Constraints. System design formulation will beginwith a class interactive design workshop using theRadarCalc model designed for the purpose ofdemonstrating the constraints imposed byrange/Doppler ambiguities, minimum antenna area,limitations and related radar physics and engineeringconstraints. Contemporary pacing technologies in thearea of antenna design, on-board data collection andprocessing and ground system processing and analysiswill also be presented along with a projection of SARtechnology advancements, in progress, and how theywill influence future applications.
3. Civil Applications. A review of the current NASAand foreign scientific applications of SAR.
4. Commercial Applications. The emerginginterest in commercial applications is international andis fueled by programs such as Canada’s RadarSat, theEuropean ERS series, the Russian ALMAZ systemsand the current NASA/industry LightSAR initiative. Theapplications (soil moisture, surface mapping, changedetection, resource exploration and development, etc.)driving this interest will be presented and analyzed interms of the sensor and platform space/airborne andassociated ground systems design and projected cost.
Course Outline1. SAR Review Origins. Theory, Design,
Engineering, Modes, Applications, System.2. Processing Basics. Traditional strip map
processing steps, theoretical justification, processingsystems designs, typical processing systems.
3. Advanced SAR Processing. Processingcomplexities arising from uncompensated motion andlow frequency (e.g., foliage penetrating) SARprocessing.
4. Interferometric SAR. Description of the state-of-the-art IFSAR processing techniques: complex SARimage registration, interferogram and correlogramgeneration, phase unwrapping, and digital terrainelevation data (DTED) extraction.
5. Spotlight Mode SAR. Theory andimplementation of high resolution imaging. Differencesfrom strip map SAR imaging.
6. Polarimetric SAR. Description of the imageinformation provided by polarimetry and how this canbe exploited for terrain classification, soil moisture,ATR, etc.
7. High Performance Computing Hardware.Parallel implementations, supercomputers, compactDSP systems, hybrid opto-electronic system.
8. Image Phenomenology & Interpretation.Imagery of moving targets (e.g., train off the track), layover, shadowing, slant-plane versus ground planeimagery, ocean imagery.
9. Example Systems and Applications. SIR-C,ERS-1, AirSAR, Almaz, image artifacts and causes.ATR, coherent change detection, polarimetry, along-track interferometry.
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Advanced SAR ProcessingThe Need for SAR Image Processing
To Application-Specific Processing
SAR
Imag
e Fo
rmat
ion
Proc
essi
ng
Optical Data
SAR Data
ToApplication-
SpecificProcessing
Advanced SAR ProcessingSynthetic Aperture Image Formation
krange
kazimuth
Measured FourierComponents ofImaged Region
Image
Four
ier T
rans
form
Advanced SAR ProcessingBorn Approximation
• Electromagnetic scattering theory gives the following leading order approximation
⇒The scattered radar waves measure the Fourier transform of the target(dielectric inhomogeneity)
- Fourier transform wavevector is the bistatic scattering vectorkincident-kscattered
E e f er
iikr
incident( ) ~ ($ )r rk rk
⋅ +
( )f e dscatteredi incident scattered
kk k xk x x( $ ) ~ ( )− ⋅∫ ε
Advanced SAR ProcessingMatched-Filter on an Undersampled Signal
Ambiguity
Advanced SAR ProcessingRange-Doppler Algorithm
PhaseHistoryData
PhaseHistoryData Multiply by
RangeMatched-FilterCorner
Turn
RangeCurvature
Interpolation
Multiply byDoppler
Matched-Filter
SARSLC
Image
SARSLC
Image
Advanced SAR ProcessingRange-Doppler SAR Image Formation
• Doppler (or azimuth) compression- Apply azimuth (or along-track or slow-time) matched-filter to the
range-compressed phase history- Recall that the correlation of two matched chirps produces an
impulse
• Thus, the target energy has been localized to the correct (t,x) location- t = (R+y’)/(c/2)- x = x’
• Linearity generalizes this point-target discussion to formation of an extended image
( )
( ) ( )
( )'xx2/c
'yRt
d'yR
'xc
2i2exp
'yRx
c2
i2exp2/c
'yRt
d),t(d'yR
xc
2i2exp
azrg
20
20
rg
ressedrange_comp
20
−δ⎟⎠⎞
⎜⎝⎛ +−δ≅
ξ⎪⎭
⎪⎬⎫
⎪⎩
⎪⎨⎧
⎟⎟⎠
⎞⎜⎜⎝
⎛
+−ξω
π⎪⎭
⎪⎬⎫
⎪⎩
⎪⎨⎧
⎟⎟⎠
⎞⎜⎜⎝
⎛
+−ξω
π−⎟⎠⎞
⎜⎝⎛ +−δ=
ξξ⎪⎭
⎪⎬⎫
⎪⎩
⎪⎨⎧
⎟⎟⎠
⎞⎜⎜⎝
⎛
+−ξω
π−
∫
∫
Advanced SAR ProcessingSAROS Raw Data
Advanced SAR ProcessingRange Geometry of Motion Errors
ζ
η
H
δζ
δηR
Rnominal
Ground:
actual location
nominallocation
flatuneven
( )
( ) ( )⎪⎪⎩
⎪⎪⎨
⎧
δζ+≤δη−+δζ−−
δζ+>⎟⎠⎞
⎜⎝⎛ δη−δζ+−+−
=∆
kj2
k2
kjj
kj2
k2
k2j
2j
j
HRfor look*RR
HRfor look*HRHRR
Advanced SAR ProcessingMinimum Antenna Area Constraint
• SAR antenna is the key subsystem determining the performance of a SAR- Antenna design affects swath width, azimuth resolution, range and
azimuth ambiguity level, and clutter- and signal-to-noise ratios• Ambiguity constraints determine the minimum antenna area for a SAR
- Note that there is very little freedom to alter AMIN
- Practical designs typically are twice or more this area to suppress ambiguities
A Av Rcantenna MIN i≥ =
4 λϕtan
Advanced SAR Processing
Seismic Migration Algorithm in four elegant stepsStep 1: Fourier transform the range compressed[1] phase history data
Step 2: Interpolate the transformed phase history
This is the so-called “Stolt interpolation,” which effectively corrects for range curvature.Step 3Multiply the interpolated, transformed phase history by a phase factor
This is effectively the azimuth matched-filter.Step 4Inverse transform the Fourier transform of the image
which produces the complex image.Fine PointsRange compression may conveniently be done by multiplying D(κ,ω) by the complex conjugate of the range reference function[2] in Step 1.Windows, spectral filters, equalization factors, etc., may be multiplied onto I(kx,ky) or D(κ,ω) anywhere between the Fourier transforms in Steps 1
and 4. This enables custom shaping of the impulse response, compensation of antenna patterns, transmit pulse equalization, etc.
[1] “Range compressed” phase history data because we don’t want to mix in any phase modulation included with the transmit pulse, e.g., the quadratic phase of a chirped pulse.
[2] The range reference function is the Fourier transform of the transmitted pulse.
{ } ξττξκξωτπωκ dddiD ∫∫ +−= ),()(2exp),(
⎟⎟⎟
⎠
⎞
⎜⎜⎜
⎝
⎛
⎥⎥⎦
⎤
⎢⎢⎣
⎡−+⎟
⎠⎞
⎜⎝⎛ +=⎟
⎠⎞
⎜⎝⎛
λλ22
2,
2,' 2
2
xyxyx kkckDkckD
⎟⎠⎞
⎜⎝⎛
⎪⎭
⎪⎬⎫
⎪⎩
⎪⎨⎧
⎥⎥⎦
⎤
⎢⎢⎣
⎡−
λ−+⎟
⎠⎞
⎜⎝⎛ +λ
π−= yxy2x
2
y0yx k2c,k'Dk2kk2iR2exp)k,k(I
{ } yxyxyx dkdkkkIykxkiyxi ∫∫ ++= ),()(2exp),( π
Advanced SAR ProcessingSAR Image Geolocation
• SAR image pixel location Rpixel determined as a solution to three equations- range equation
- Doppler equation
- Earth model equation
Rslant range SAR pixel= −R R
( ) ( )fRDoppler centroid
slant rangeSAR pixel SAR pixel
pixel Earth pixel
= − • −
= ×
2λ
ω
V V R R
V R
R pixel EarthR h= +
Advanced SAR ProcessingAirSAR Layover Example
Advanced SAR ProcessingScattering Matrix Phase Calibration
• The 4 channel image data are used to construct a scattering matrix at each pixel
• A measured scattering matrix for a fully polarimetric SAR is:
where Sij is the complex amplitude for the j-transmitting i-receiving polarization and φt and φr are the phase factors for transmit and receive. (φt = φt,h- φt,v) and (φr = φr,h- φr,v)
• Two assumptions are used to calculate the difference in transmitted and received phase- hv = vh amplitudes for backscatter systems (averageing across the
image produces a φt - φr expression)- knowledge of the predicted phase difference in the hh and vv
signals in order to determine φt - φr- possibly given by a corner reflecting target
• R (with relative phase) is known after solving for φt and φr
R exp j ( +S exp j ( + S exp j
S exp j St,v r,vhh t r hv r
vh t vv=
⎛⎝⎜
⎞⎠⎟
φ φφ φ φφ
))
Advanced SAR ProcessingBaseline Decorrelation – Spectral View
csinBW 2 θ
k
c cos 2 θ∆θω
2/sink inc
ground λθ
=
θsθM
θδλ
=θω
θ=θ∆=
cosR
cos2c
csinBW2R RB
rgcriticalcritical
Advanced SAR ProcessingGround Wavenumber Filtering
Before Filtering
After Filtering
Advanced SAR ProcessingDPCA
• Doppler of ground clutter is primarily due to motion of the radar⇒ Try to “stop” the radar so it behaves like a conventional MTI radar
• Implement with a Displaced Phase Center Array
Phase Centers
R RT
Tim
e
Pulse n+1
R RT
R RTPulse n
Pulse n-1Antenna Path
Σ+-
ConventionalMTI signal
Advanced SAR ProcessingGround Moving Target Indication (GMTI)
100 kph
1 sq-kmAzimuth
Ran
ge
New
Jersey Turnpike
I-295
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professionals. Our courses keep you current in the state-of-the-art technology that isessential to keep your company on the cutting edge in today’s highly competitivemarketplace. For 20 years, we have earned the trust of training departments nationwide,and have presented on-site training at the major Navy, Air Force and NASA centers, and for alarge number of contractors. Our training increases effectiveness and productivity. Learnfrom the proven best.
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