p = 10*log10(a); error=zeros(10,10); fork = 1:length(p) Noise_add = wgn(1,2*Length,p(k)); Receive_information = QPSKCode + Noise_add; DQPSKCode = QPSK_Decode(Receive_information, Length); Decoder = Viterbi(DQPSKCode, Length); error(i,k) =sum(abs(Decoder-Information)); end...
[dec_list] = SCL_CRCdecoder_llr(L, N, llr, noiseVar, info_bit_idx, G);after_decode_bit = dec_list(:,1)';% 解码之后的序列codeword_errors = sum(info_bit ~= after_decode_bit);% disp("**word_wrong_bits : " + num2str(codeword_errors));Frames_errors = Frames_errors + code...
p = 10*log10(a);error= zeros(10,10); for k = 1:length(p) Noise_add = wgn(1,2*Length,p(k));Receive_information = QPSKCode + Noise_add; DQPSKCode = QPSK_Decode(Receive_information,Length); Decoder = Viterbi(DQPSKCode,Length);error(i,k) =sum(abs(Decoder-Information));endend%...
p = 10*log10(a); error = zeros(10,10); for k = 1:length(p) Noise_add = wgn(1,2*Length,p(k)); Receive_information = QPSKCode + Noise_add; DQPSKCode = QPSK_Decode(Receive_information, Length); Decoder = Viterbi(DQPSKCode, Length); error(i,k) = sum(abs(Decoder-Information))...
1.算法仿真效果 matlab2022a仿真结果如下: 2.算法涉及理论知识概要 极化码(英语:Polar code)是一种前向错误更正编码方式,用于讯号传输。构造的核心是通过信道极化(channel polarization)处理,在编码侧采用方法使各个子信道呈现出不同的可靠性,当码长持续增加时,
根据校验矩阵直接进行编码:利用输入信息比特序列$s$和校验矩阵$H$求得校验比特序列 $p$ , $x = \lbrack p\ s\rbrack$ 即为编码序列。 编码序列采用BPSK调制并通过AWGN信道添加噪声。 完成以下四种译码算法的MATLAB代码实现 和积算法(Sum-Product, SP) ...
matlab提供的m文件分析工具包括code analyzer和profiler工具,他们都有图形操作界面,使用起来还是非常方便的。 3.编程技巧 (1)计时:采用函数tic和toc进行计时,使用函数etime进行计时,利用cputime进行计时 (2)防止程序进入死循环 (3)如果必须使用多重循环,但是两个循环执行的次数不同,建议在外循环次数少的,内循环执行循...
v2 = func_SCdecoder(L2,z); data_out2 = v2(free_pos); nberr1 = length(find(data_out2~=data_in')); Num_err = Num_err+nberr1; Numbers = Numbers+1; end Bit_err(i) = Num_err/(length(data_in)*Numbers); end if rate==0.6 ...
v2 = func_SCdecoder(L2,z); data_out2 = v2(free_pos); nberr1 = length(find(data_out2~=data_in')); Num_err = Num_err+nberr1; Numbers = Numbers+1; end Bit_err(i) = Num_err/(length(data_in)*Numbers); end if rate==0.6 ...
[P]=decoder_log(Le(j,:),G); d=decider(P); [Pm]=decoder_log(Lem(j,:),G); dm=decider(Pm); [Pc]=decoder_log(Lec(j,:),G); dc=decider(Pc); % [Ps]=decoder_log(Les(j,:),G); % ds=decider(Ps); for i=1:N if d(i)~=info(j,i) ...