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Generate noise using Box muller meathod

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Ronak Sakaria
Ronak Sakaria 2012 年 6 月 8 日
コメント済み: Ali Sabra 2019 年 10 月 24 日
What are the other meathod for generating Guassian Noise?
I wrote code for Box muller like:
noise = rand(2,length(data));
AWGN_noise = zeros(1,length(data));
for i1=1:length(data)
AWGN_noise(i1) = sigma_noise * sqrt(-2*log(noise(1,i1)))*cos(2*pi*noise(2,i1));
end
The thing is that I'm not getting much variance in values after Box Muller Transformation. Suggest me some good code to generate guassian noise.

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the cyclist
the cyclist 2012 年 6 月 8 日
If I set sigma_noise to 1, then the variance of your noise is also 1, exactly as I would expect. (See for example http://en.wikipedia.org/wiki/Box%E2%80%93Muller_transform.) If you increase the value of sigma_noise, then you'll get more variance.
Also, your code can be vectorized to have a significant speedup. Replace your for loop with:
AWGN_noise = sigma_noise * sqrt(-2*log(noise(1,:))).*cos(2*pi*noise(2,:));
  4 件のコメント
Ronak Sakaria
Ronak Sakaria 2012 年 6 月 8 日
Are you aware of Sigma for QPSK modulation? My theory and simulation BER result doesnt match very much. I know that it depends on sigma of noise but i have tried various values of sigma and i am not getting good simultation BER curve, And thanks for suggesting alternate for for loop. I'm making less error than theoritical case at higher SNR.
Ali Sabra
Ali Sabra 2019 年 10 月 24 日
Hello everyone,
Can anybody body tell me how to change mean of the generated Gaussian RV using this method ?

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その他の回答 (1 件)

Peter Perkins
Peter Perkins 2012 年 6 月 8 日
Is there some reason why you are not using the randn function?
  1 件のコメント
Ronak Sakaria
Ronak Sakaria 2012 年 6 月 8 日
Well no need to use randn function. I'm trying not to use any predefined function in matlab like randn, and other related to QPSK modulation.

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