statistical multipath channel models hassan fayed dr.eng mohab mangoud
TRANSCRIPT
Statistical Statistical multipath multipath channel channel modelsmodels
Hassan fayedHassan fayed
DR .ENG DR .ENG MOHAB MANGOUDMOHAB MANGOUD
introductionintroduction
TheThe wireless radio channel poses a wireless radio channel poses a severe challenge as a medium for severe challenge as a medium for reliable high-speed communicationreliable high-speed communication
It is not only susceptible to noise, It is not only susceptible to noise, interference, and other channel interference, and other channel impediments, but these impediments, but these impediments change over time in impediments change over time in unpredictable ways due to user unpredictable ways due to user movementmovement
we will characterize in briefwe will characterize in brief the variation in received signal the variation in received signal
power over distance due to path power over distance due to path loss and shadowingloss and shadowing..
. .Path loss is caused by dissipation Path loss is caused by dissipation of the power radiated by the of the power radiated by the
transmitter as well as effects of transmitter as well as effects of the propagation channelthe propagation channel
Types of path Types of path loss modelsloss models
free space path lossfree space path loss
ray tracingray tracing
Types ofTypes of Statistical Statistical multipathmultipath modelsmodels
TimeTime--Varying Channel Impulse Varying Channel Impulse ResponseResponse
where the last equality follows from the sifting where the last equality follows from the sifting property of delta functionsproperty of delta functions
αα( ( - ּז - ּזααnn((tt))))uu((tt - - ּז ּז))dd ּז ּז = =αα ( (tt - - ααnn((tt))))..uu((tt) = ) = uu((tt--ααnn((tt))))..
Some channel models assume a continuum of Some channel models assume a continuum of multipath delays, in which case the sum in multipath delays, in which case the sum in
((66) ) becomes an integral which simplifies to a becomes an integral which simplifies to a timetime--varying complex amplitude associated varying complex amplitude associated
with each multipath delaywith each multipath delay ּז ּז::
The timeThe time--varying impulse varying impulse response corresponding toresponse corresponding to
tt1 equals1 equals
For stationary channels the For stationary channels the response to an impulse at response to an impulse at
timetime tt1 is just a shifted 1 is just a shifted version of its response to an version of its response to an impulse at timeimpulse at time tt22, t, t11 __= = tt22..
multipath component corresponds to a single reflector. At time t1&t2
s(s(tt) ) to be an un modulated to be an un modulated carrier with random phase carrier with random phase
offsetoffset ΦΦ00::
Autocorrelation, Cross Autocorrelation, Cross Correlation, and PowerCorrelation, and Power
Spectral DensitySpectral Density
In this model we will focus on In this model we will focus on the uniform scattering the uniform scattering
environmentenvironment
Dense Scattering Environment
Power Delay Profile, RMS Delay Power Delay Profile, RMS Delay Spread, and Coherence Spread, and Coherence
BandwidthBandwidth..