QAMMod.rar_256QAM 解调_256QAM解调_4096QAM_4096QAM优势_matlab中qammod

function y=QAM_Demodulator(r,a,m) %*************************************************** %***********通用调制解调模块************************* %*************************************************** % 函数名：function [] = QAM_Demodulator() % 函数功能：QAM调制 %*************************************************** % 输入参数 % 参数名 数据结构 参数含义 % r [R*1] 输入的待调制信息比特 % m [1*1] 调制阶数：1-BPSK，2-QPSK，3-8QAM，4-16QAM，6-64QAM，8-256QAM，10-1024QAM，12-4096QAM %*************************************************** % 输出参数 % 参数名 数据结构 参数含义 % y [Y*1] 解调后软信息 %*************************************************** % 修改日期 版本号 修改人 修改内容 % 2012.8.18 V1.0 鲁莎莎 首次创建 % 版权所有 螺光科技IC设计部 channel = 1; r = r./a; N=size(r,1)*m; switch (m) case 1 y=r; case 2 y=zeros(2*size(r,1),1); y(1:2:end,1) = real(r); y(2:2:end,1) = imag(r); case 3 ro = 1/sqrt(5+1.29^2); LLR1 = real(r); LLR0 = abs(LLR1)-2*ro*channel; LLR2 = imag(r); y_temp = [LLR0 LLR1 LLR2]; y=reshape(y_temp',N,1); case 4 ro = 1/sqrt(10); LLR1 = real(r); LLR0 = abs(LLR1)-2*ro*channel; LLR3 = imag(r); LLR2 = abs(LLR3)-2*ro*channel; y_temp = [LLR0 LLR1 LLR2 LLR3]; y=reshape(y_temp',N,1); case 6 ro = 1/sqrt(42); LLR2 = real(r); LLR1 = abs(LLR2)-4*ro*channel; LLR0 = -1*(abs(LLR1)-2*ro*channel); LLR5 = imag(r); LLR4 = abs(LLR5)-4*ro*channel; LLR3= -1*(abs(LLR4)-2*ro*channel); y_temp = [LLR0 LLR1 LLR2 LLR3 LLR4 LLR5]; y=reshape(y_temp',N,1); case 8 ro = 1/sqrt(170); LLR3 = real(r); LLR2 = abs(LLR3)-8*ro*channel; LLR1= -1*(abs(LLR2)-4*ro*channel); LLR0 = -1*(abs(LLR1)-2*ro*channel); LLR7 = imag(r); LLR6 =(abs(LLR7)-8*ro*channel); LLR5 = -1*(abs(LLR6)-4*ro*channel); LLR4 = -1*(abs(LLR5)-2*ro*channel); y_temp = [LLR0 LLR1 LLR2 LLR3 LLR4 LLR5 LLR6 LLR7]; y=reshape(y_temp',N,1); case 10 ro = 1/sqrt(682); LLR4 = real(r); LLR3 = abs(LLR4)-16*ro*channel; LLR2 = -1*(abs(LLR3)-8*ro*channel); LLR1 = -1*(abs(LLR2)-4*ro*channel); LLR0 = -1*(abs(LLR1)-2*ro*channel); LLR9 = imag(r); LLR8 = abs(LLR9)-16*ro*channel; LLR7 = -1*(abs(LLR8)-8*ro*channel); LLR6 = -1*(abs(LLR7)-4*ro*channel); LLR5 = -1*(abs(LLR6)-2*ro*channel); y_temp = [LLR0 LLR1 LLR2 LLR3 LLR4 LLR5 LLR6 LLR7 LLR8 LLR9]; y=reshape(y_temp',N,1); case 12 ro = 1/sqrt(2730); LLR5 = real(r); LLR4 = abs(LLR5)-32*ro*channel; LLR3 = -1*(abs(LLR4)-16*ro*channel); LLR2 = -1*(abs(LLR3)-8*ro*channel); LLR1 = -1*(abs(LLR2)-4*ro*channel); LLR0 = -1*(abs(LLR1)-2*ro*channel); LLR11 = imag(r); LLR10 = abs(LLR11)-32*ro*channel; LLR9 = -1*(abs(LLR10)-16*ro*channel); LLR8 = -1*(abs(LLR9)-8*ro*channel); LLR7 = -1*(abs(LLR8)-4*ro*channel); LLR6 = -1*(abs(LLR7)-2*ro*channel); y_temp = [LLR0 LLR1 LLR2 LLR3 LLR4 LLR5 LLR6 LLR7 LLR8 LLR9 LLR10 LLR11]; y=reshape(y_temp',N,1); otherwise error('Not supported Demodulation Mode!'); end