LDPC編碼學習 Matlab程序

ID:204662 · 發表于 2017-5-25 11:39

LDPC非常好用的工具。

Matlab程序源程序如下:

%--------------------------------------------------------------------------
%-----Chamitha-de-Alwis----------------------------------------------------
%-----University-of-Surrey-------------------------------------------------
%-----chamithadealwis@hotmail.com------------------------------------------
%--------------------------------------------------------------------------
clear
clc
clear
%--------------------------------------------------------------------------
%-----Set-Simulation-Parameters--------------------------------------------
%--------------------------------------------------------------------------
snrs = [10 13 15]; %SNR values
codeRate = 9/10; %Possible values for codeRate are 1/4, 1/3, 2/5, 1/2, 3/5, 2/3, 3/4, 4/5, 5/6, 8/9, and 9/10. The block length of the code is 64800
mod_order = 4; %PSK Modulation Order
frames = 2500; %Number of frames (fame size is 64800 bits) to be simulated
%--------------------------------------------------------------------------
rounds = size(snrs,2);
messageLength = round(64800*codeRate);
for run = 1:1:rounds
framepattern = [];
snrvalue = snrs(run);
H = dvbs2ldpc(codeRate);
%spy(H); % Visualize the location of nonzero elements in H.
errors = 0;
hEnc = comm.LDPCEncoder(H);
hMod = comm.PSKModulator(mod_order, 'BitInput',true);
hChan = comm.MIMOChannel('MaximumDopplerShift', 0, 'NumTransmitAntennas',1,'NumReceiveAntennas',1, 'TransmitCorrelationMatrix', 1, 'ReceiveCorrelationMatrix', 1, 'PathGainsOutputPort', true);
hAWGN = comm.AWGNChannel('NoiseMethod','Signal to noise ratio (SNR)','SNR',snrvalue);
% hDemod = comm.PSKDemodulator(4, 'BitOutput',true,'DecisionMethod','Approximate log-likelihood ratio',...
% 'Variance', 1/10^(hChan.SNR/10));
hDemod = comm.PSKDemodulator(4, 'BitOutput',true,'DecisionMethod','Approximate log-likelihood ratio');
hDec = comm.LDPCDecoder(H,'DecisionMethod', 'Soft decision');
%hError = comm.ErrorRate;
for counter = 1:frames
receiveddataBits = [];
data = logical(randi([0 1], messageLength, 1));
% data = randi([0 hMod.ModulationOrder-1], messageLength, 1);
encodedData = step(hEnc, data);
modSignal = step(hMod, encodedData);
% Transmit through Rayleigh and AWGN channels
[chanOut, pathGains] = step(hChan, modSignal);
receivedSignal = step(hAWGN, chanOut);
demodSignal = step(hDemod, receivedSignal);
receivedBits = step(hDec, demodSignal);
%errorStats = step(hError, data, receivedBits);
for i=1:1:messageLength
if receivedBits(i,1) >= 0
receiveddataBit = 0;
else
receiveddataBit = 1;
end
receiveddataBits = [receiveddataBits; receiveddataBit];
end
newErrors = nnz(receiveddataBits-data);
errors = errors + newErrors;
if newErrors == 0
addFramepattern = 1;
else
addFramepattern = 0;
end
framepattern = [framepattern addFramepattern];
clc
run
counter
errors
code_errors = (size(framepattern,2) - nnz(framepattern));
code_errors
end
SumErrors(run) = errors;
……………………
…………限于本文篇幅余下代碼請從51黑下載附件…………

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所有資料51hei提供下載:

LDPC_AWGN.zip (2.17 KB, 下載次數: 32)

ID:345094 · 發表于 2018-6-5 01:06

誤碼率信噪比曲線出來結果不正確為什么？

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LDPC編碼學習 Matlab程序

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