1 sysc4607 – lecture 5 outline announcements: tutorial important: review of probability theory and...

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1 SYSC4607 – Lecture 5 Outline Announcements: Tutorial important: Review of Probability Theory and Random Processes Review of Last Lecture Narrowband Fading Model In-Phase and Quad Signal Components Auto and Crosscorrelation Signal Envelope Distributions

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Page 1: 1 SYSC4607 – Lecture 5 Outline Announcements: Tutorial important: Review of Probability Theory and Random Processes Review of Last Lecture Narrowband Fading

1

SYSC4607 – Lecture 5 Outline

Announcements:Tutorial important: Review of Probability

Theory and Random Processes

Review of Last Lecture Narrowband Fading Model

In-Phase and Quad Signal Components

Auto and Crosscorrelation

Signal Envelope Distributions

Page 2: 1 SYSC4607 – Lecture 5 Outline Announcements: Tutorial important: Review of Probability Theory and Random Processes Review of Last Lecture Narrowband Fading

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Review of Last Lecture

Model Parameters from Empirical DataObtain path loss model from MMSE curve fitObtain STD of data relative to path loss

model (for log-normal shadowing)

Random Multipath Model

Time Varying Channel Impulse Response))(()(),(

)(

0

)( tettc n

tN

n

tjn

n

-Random (large) number of components-Random delays/gains/doppler on each

Page 3: 1 SYSC4607 – Lecture 5 Outline Announcements: Tutorial important: Review of Probability Theory and Random Processes Review of Last Lecture Narrowband Fading

1

Narrowband Model

Assume delay spread maxm,n|n(t)-m(t)|<<1/B

(nonresolvable multipath components) Then u(t)u(t-). Received signal given by

No signal distortion (spreading in time) Multipath affects complex scale factor in

brackets. Characterize scale factor by setting u(t)=ej0

)(

0

)(2 )()(Re)(tN

n

tjn

tfj nc etetutr

Page 4: 1 SYSC4607 – Lecture 5 Outline Announcements: Tutorial important: Review of Probability Theory and Random Processes Review of Last Lecture Narrowband Fading

1

In-Phase and Quadratureunder CLT

Approximation In phase and quadrature signal components:

For N(t) large, rI(t) and rQ(t) jointly Gaussian by CLT (sum of large # of random variables).

Received signal is also Gaussian characterized by its mean and autocorrelation function.

If n(t) uniform, the in-phase/quad components are zero-mean, and jointly WSS with the same autocorrelation function (next slide).

),(cos)()()(

0

tttr n

tN

nnI

)(sin)()()(

0

tttr n

tN

nnQ

Page 5: 1 SYSC4607 – Lecture 5 Outline Announcements: Tutorial important: Review of Probability Theory and Random Processes Review of Last Lecture Narrowband Fading

1

Auto and Cross Correlation

Assume n~U[0,2]

Recall that n is the multipath arrival angleAutocorrelation of inphase/quad signal is

Cross Correlation of inphase/quad signal is

Autocorrelation of received signal is

)2sin()()2cos()()( , crrcrr fAfAAQII

/)cos()],2[cos()(5.0)()( 2nDD

nnrr vffEEAA

nnQI

)]2[sin()(5.0)()( 2,,

nIQQI Dn

nrrrr fEEAA

Page 6: 1 SYSC4607 – Lecture 5 Outline Announcements: Tutorial important: Review of Probability Theory and Random Processes Review of Last Lecture Narrowband Fading

1

Uniform AOAs

Under uniform scattering, in phase and quad components have no cross-correlation (independent) and autocorrelation is

The PSD of received signal is

)2()()( 0 Drrr fJPAAQI

Decorrelates over roughly half a wavelength

)]2([)(

)]()([5.0)(

0 Drr

crcrr

fJPfS

ffSffSfS

I

II

F

fc+fDUsed for simulating the fading process fc

Sr(f)

fc-fD

Page 7: 1 SYSC4607 – Lecture 5 Outline Announcements: Tutorial important: Review of Probability Theory and Random Processes Review of Last Lecture Narrowband Fading

1

Signal Envelope Distribution

CLT approx. leads to Rayleigh distribution for envelope (power is exponential)

When LOS component present, Rician distribution is used

Measurements support Nakagami distribution in some environmentsHas both Rayleigh and Rician as special casesAlso models “worse than Rayleigh” situations

Page 8: 1 SYSC4607 – Lecture 5 Outline Announcements: Tutorial important: Review of Probability Theory and Random Processes Review of Last Lecture Narrowband Fading

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Main Points

Narrowband model has in-phase and quad. comps that are zero-mean stationary Gaussian processesAuto and cross correlation depends on AOAs of

multipath

Uniform scattering makes autocorrelation of inphase and quad follow Bessel functionSignal components decorrelated over half

wavelengthCross correlation is zero (in-phase/quadrature

indep.)

Fading distribution depends on environmentRayleigh, Rician, and Nakagami all common