rng and randn on matlab

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mingcheng nie
mingcheng nie on 25 Aug 2022
Answered: vidyesh on 20 Sep 2024
Hi there,
Can we say this code has a good approximation about the channel coefficient for each SNR?
rng(1)
SNR=10:5:20;
N_frame=100000;
taps=4;
for i=1:length(SNR)
for 1:N_frame
chan_coef=sqrt(1/2)*(randn(1,taps)+1i*randn(1,taps));
...
end
end
My result showed that in one SNR condition, the chan_coef will be extremely small, but didn't appear in other SNR condition
  1 Comment
Ashu
Ashu on 6 Sep 2022
Can you give more clarification on what results you are getting?

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Answers (1)

vidyesh
vidyesh on 20 Sep 2024
Hi mingcheng,
Since channel coeffecients are random in nature, their values can be extremely small at time. Also please note that the channel coeffecients you are generating are independent of SNR.
I would advice you to:
a) Generate a large numer of channel coeffecients, equal to the number of samples/symbols and the utilize those in your simulation.
b) Generate the channel coeffecients outside the loop iterating over different SNR values. As a result the channel coeffecients will be the same for all values of SNR and it will allow you to see the effects of increasing SNR clearly.
Refer to the below page for more information on how channel coeffecients can be generated.

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