一、SPA译码算法的实际应用
查找表与拟合
盒加SPA译码器
二、SPA译码算法的简化算法
最小和算法(MSA)
归一化最小和算法(Normalized MSA, NMSA)
偏移最小和算法(Offset MSA, OMSA)
三、NMSA算法的Matlab实现
function [x_hat, iter_this_time] = Layered_NMSA_BP_decoder(llr, H_row_one_absolute_index, H_comlumn_one_relative_index, N, M, vn_degree, cn_degree, max_iter,alfa)
VN_array = zeros(max(vn_degree), N);
CN_tanh_tmp = zeros(max(cn_degree), 1);%CN temporary memory.
iter_this_time = max_iter;
for t = 1 : max_iter
for c = 1 : M
product = 1;
for c_neighbor = 1 : cn_degree(c)%read data from VNs, and then store in CNs memory.
Lji = sum(VN_array(:, H_row_one_absolute_index(c, c_neighbor))) + llr(H_row_one_absolute_index(c, c_neighbor)) - VN_array(H_comlumn_one_relative_index(c, c_neighbor), H_row_one_absolute_index(c, c_neighbor));%VN update. However, this simple MATLAB sentence consumes a lot of time.
%CN_tanh_tmp(c_neighbor) = 1 - 2/(1 + exp(Lji));%Exact decoding. Equivalent to tanh(x/2), usually faster.
if Lji==0
Lji=1e-15;
end
CN_tanh_tmp(c_neighbor) =Lji;
product = product * sign(Lji);%Avoid repeated calculations.
end
for c_neighbor = 1 : cn_degree(c)
Lij = product/sign(CN_tanh_tmp(c_neighbor));%Extract Extrinsic information, i.e., divide itself.
minsort=sort(abs(CN_tanh_tmp(1:cn_degree(c))));
if abs(CN_tanh_tmp(c_neighbor))==minsort(1)
VN_array(H_comlumn_one_relative_index(c, c_neighbor), H_row_one_absolute_index(c, c_neighbor)) = alfa*Lij*max(minsort(2),1e-15);
else
VN_array(H_comlumn_one_relative_index(c, c_neighbor), H_row_one_absolute_index(c, c_neighbor)) = alfa*Lij*max(minsort(1),1e-15);
end
end
end
x_hat = (sum(VN_array)' + llr) < 0;%Belief propagation Decision.
parity_check = zeros(M, 1);
for m = 1 : M
for k = 1 : 1 : cn_degree(m)
parity_check(m) = parity_check(m) + x_hat(H_row_one_absolute_index(m, k));
end
end
if ~sum(mod(parity_check, 2))%early stop, to see whether Hx = 0.
iter_this_time = t;
break;
end
end
注:以上代码并不是最优的,最优算法参见上一篇博文。
四、写在最后
写者学习QC-LDPC硬件实现的总结笔记。主要参考了白老师的书籍,自己在其中做了一些理解和总结,如有错误,请多指教。如果有相关问题,欢迎与我交流。
参考文献
[1] 白宝明 孙韶辉 王加庆. 5G 移动通信中的信道编码[M]. 北京: 电子工业出版社, 2018.
[2] William E. Ryan, Shu Lin. Channel Codes - Classical and Modern[M]. Cambridge University Press, 2009.
[3] Gallager R. Low-density parity-check codes[J]. IRE Transactions on information theory, 1962, 8(1): 21-28.