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taps in rayleigh channel
Hi,
I took var. 0.01 only for example, you may use any value that you find to be appropriate for your simulation. To pass signal through this channel just use convolution of transmitted signal and channel impulse response created above. If you are using MATLAB, all you...
multipath fading wiki
If you generate amplitudes for paths (or taps) directly - you won't get proper distribution.
Let's say you actually need 4-tap Rayleigh channel with variance 0.01 - it can be generated with:
for m=1:4
h(m)=sqrt(0.01/2)*randn+i*sqrt(0.01/2)*randn;
end;
And that's it...
multipath fadding
You can create Rayleigh channel by generating taps of channel as x+i*y, where x and y are Gaussian with mean zero and variance that you choose.
Re: help me
Hi, I think that You won't find "code" for that topic, but You can write it yourself by using MATLAB functions for modulation (check out "Help" in MATLAB).
OK, let's go :) :
First, equaliser operates in training mode: you send d(k) and your receiver expects d(k) exactly. During propagation channel (h(k)) has changed your signal and now it is x(k)=d(k)*h(k) (* is for convolution). x(k) is what you see at input of equaliser: you change x(k) with...
That's true, for training mode of operation. After this mode, equaliser is considered to have converged to optimal structure, and transmission of unknown data starts. Now you calculate error by comparing data after decision slice and signal at the output of equaliser - this is so-called Decision...
Re: baseband modulation
Baseband modulation is simply - modulation of signal in baseband :). Like converting 0s and 1s into two-branch 4-level baseband signal (in order to create 16-QAM modulated signal) - this is modulation. Later one can additionaly "multiply" this baseband signal with...
Hi,
Tap coefficients change because of residual error (I suppose that your equaliser has converged, and these changes are just "oscillations" around some tap values). Have you checked results of equalisation: is data leaving equaliser (after decision is made) good or not?
When your signal passes through filter he changes - this change is described with convolution of signal waveform and filter impulse responese in time domain. So, it is not our free choice to take convolution function to describe this process, this function trully represents what happens...
Re: PSK simulation
Well, if your (fixed) amplitude is large, noise will change it just a little, and as a result phase of your vector will change slightly and you'll be able to recognize your vector at receiving point. This is case with large signal-to-noise (SNR) ratio. In case when your fixed...
Well, Sklar's great, too! :) :) :)
On the very beggining I read Haykin - it was sometimes great, sometimes OK. It would be probably the best if you read some lectures, class presentations, work on problems with solutions for the first contact. :) :)
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