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EE359 – Lecture 5 Outline Announcements: HW posted, due Thursday 5pm Background on random processes in Appendix B Lecture notes: No need to take notes unless you want to! Most important aspects of lecture are in the handouts Everything is in the book My lecture notes available by request Review of Last Lecture Narrowband Fading Model In-Phase and Quad Signal Components Crosscorrelation of RX Signal in NB Fading

EE359 – Lecture 5 Outline Announcements: HW posted, due Thursday 5pm Background on random processes in Appendix B Lecture notes: No need to take notes

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Page 1: EE359 – Lecture 5 Outline Announcements: HW posted, due Thursday 5pm Background on random processes in Appendix B Lecture notes: No need to take notes

EE359 – Lecture 5 Outline

Announcements:HW posted, due Thursday 5pmBackground on random processes in

Appendix BLecture notes: No need to take notes unless

you want to! Most important aspects of lecture are in the

handouts Everything is in the book My lecture notes available by request

Review of Last LectureNarrowband Fading ModelIn-Phase and Quad Signal

ComponentsCrosscorrelation of RX Signal in

NB FadingCorrelation and PSD in uniform

scatteringSignal Envelope Distributions

Page 2: EE359 – Lecture 5 Outline Announcements: HW posted, due Thursday 5pm Background on random processes in Appendix B Lecture notes: No need to take notes

Review of Last Lecture

Model Parameters from Measurements Random Multipath Model Channel Impulse Response

Received signal characteristicsMany multipath componentsAmplitudes change slowlyPhases change rapidly

))(()(),(1

)( tettc n

N

n

tjn

n

Page 3: EE359 – Lecture 5 Outline Announcements: HW posted, due Thursday 5pm Background on random processes in Appendix B Lecture notes: No need to take notes

Narrowband Model Assume delay spread maxm,n|tn(t)-tm(t)|

<<1/B Then u(t)u(t-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)=ejf0, yielding

)(

0

)(2 )()()(tN

n

tjn

tfj nc etetutr

)2sin()()2cos()()( 00 tftrtftrtr cQcI

Page 4: EE359 – Lecture 5 Outline Announcements: HW posted, due Thursday 5pm Background on random processes in Appendix B Lecture notes: No need to take notes

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 vars).

Received signal characterized by its mean, autocorrelation, and cross correlation.

If jn(t) uniform, the in-phase/quad components are mean zero, indep., and stationary.

),(cos)()()(

0

tttr n

tN

nnI

)(sin)()()(

0

tttr n

tN

nnQ

0)()(2)( ttft

nDncn

Page 5: EE359 – Lecture 5 Outline Announcements: HW posted, due Thursday 5pm Background on random processes in Appendix B Lecture notes: No need to take notes

Auto and Cross Correlation

Recall that qn is the multipath arrival angle

Autocorrelation of inphase/quad signal is

Cross Correlation of

inphase/quad signal is

Autocorrelation of received signal

is

/cos],2[cos)()( nDDrr vffPEAAnnnQI

)(]2[sin)( ,, QInnQI rrDrr AfPEA

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

),2cos()()()(

0

)( tfettr c

tN

n

tjnI

n

)2sin()()()(

0

)( tfettr c

tN

n

tjnQ

n

, fn~U[0,2p]

Page 6: EE359 – Lecture 5 Outline Announcements: HW posted, due Thursday 5pm Background on random processes in Appendix B Lecture notes: No need to take notes

Uniform AOAs

Under uniform scattering, in phase and quad comps have no cross correlation and autocorrelation is

The PSD of received signal is

)2()()( 0 Drr fPJAAQI

Decorrelates over roughly half a wavelength

)]2([)(

)]()([25.)(

0 Dr

crcrr

fPJfS

ffSffSfS

I

II

F

fc+fDUsed to generate simulation values fc

Sr(f)

fc-fD

Page 7: EE359 – Lecture 5 Outline Announcements: HW posted, due Thursday 5pm Background on random processes in Appendix B Lecture notes: No need to take notes

Signal Envelope Distribution

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

When LOS component present, Ricean distribution is used

Measurements support Nakagami distribution in some environmentsSimilar to Ricean, but models “worse than

Rayleigh”Lends itself better to closed form BER

expressions

Page 8: EE359 – Lecture 5 Outline Announcements: HW posted, due Thursday 5pm Background on random processes in Appendix B Lecture notes: No need to take notes

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 comps of RX signal follow Bessel functionSignal components decorrelate over half

wavelength The PSD has a bowel shape centered at carrier

frequency

Fading distribution depends on environmentRayleigh, Ricean, and Nakagami all

common