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Hi all.. I have the following codes for plotting the BER of a fading channel, with diversity of order 2...
Something seems to be wrong when i combine the receiving signals... Can someone please help?
snr=0:2:24;
for m=1:size(snr,2)
N(m)=0;
efade = 0; % error counter for fading AWGN channel...
bpsk ber
Dear all,
I need help regarding my simulation as I am using jakes model to generate the fading coefficients. However, my result doesn't match with the one given by forumer here, who uses randn/sqrt(2) to generate the real and imaginary component of the fading process. My codes are as...
Hi all,
I have just completed my previous task on simulating a fading process with a first order butterworth filter. What I did was to run the following space-state equation for 10,000 time points and taking FFT of it.
x(k+1)=x(k)exp^(-wT) + w(k), where w(k) is noise
Next, I am tasked to...
my sample equation is supposed to be
x(k+1) = x(k)exp(-wT) + w(k) where wT = 0.005 and w(k) is Gaussian R.V.
The algorithm is as follows:
The simulated spectrum is obtained by taking the squared magnitude of the DFT of the computer generated process. The simulate curve is averaged over...
I am supposed to simulate the spectrum of first order butterworth filter using DFT...
However, I have no clue on what sample function to use... Anyone care to help?
Hi
Thanks for your help.. I have got the correct simulation results...
Since the system is of 8 equal energy, equally likely orthogonal signals, so for same SNR value, i should get the same BER for every signal right?
Is it necessary to use gray coding for my case?
i need help in calculating the number of bit errors made per decision for my simulation.
M=8 for my case
For example;
if i send symbol X1, and i receive symbol Y1, no error is made
if i send symbol X1, and i receive symbol Y2, an error is made <--- how to calculate the number of bit errors...
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