www.gusucode.com > 基于Matlab的MIMO通信系统仿真 含报告;司中威;了解移动通信 > 基于Matlab的MIMO通信系统仿真 含报告;司中威;了解移动通信关键技术,了解数字通信系统仿真流程,实现基本的信道编译码、调制解调等通信模块。(好评如潮,课设拿满) 学习并实现MIMO空时处理技术 学习性能分析的思路和方法/mimo/matlab for mimo 2x2/Detector.m
function [rA_data_I, rA_data_Q, rB_data_I, rB_data_Q] = Detector(H_hat_2,rA_data_I, rA_data_Q, rB_data_I, rB_data_Q,type,SNR) % function [rA_data_I, rA_data_Q, rB_data_I, rB_data_Q] = Detector(H_hat_2,Y,type,SNR) % S_type = (s1;s2) detected % rA_data_I, rA_data_Q, rB_data_I, rB_data_Q, the real parts and imag parts % of s1 and s2 respectively. % H_hat_2 estimated channel matrix % Y received vector % type different criteria % SNR Signal to Noise Ritio in dB % % By Jinfeng Du % 05-04-22 ML = 1; JMMSE = 2; ZF = 3; if nargin<3 type = JMMSE; end if nargin<4 SNR = 20;%in dB end if type ~= ML Y = [rA_data_I + j* rA_data_Q; rB_data_I+ j*rB_data_Q]; end if type == ML [rA_data_I, rA_data_Q, rB_data_I, rB_data_Q] = MLDetector(H_hat_2, rA_data_I, rA_data_Q, rB_data_I, rB_data_Q); elseif type == JMMSE % Detect using JMMSE%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% G_JMMSE = inv(H_hat_2'*H_hat_2+10^(-SNR/10.0)*eye(2))*H_hat_2'; S_JMMSE = G_JMMSE * Y; rA_data_I = real(S_JMMSE(1,:)); rA_data_Q = imag(S_JMMSE(1,:)); rB_data_I = real(S_JMMSE(2,:)); rB_data_Q = imag(S_JMMSE(2,:)); elseif type == ZF % Detect using Zero-Forcing%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% G_ZF = inv(H_hat_2'*H_hat_2)*H_hat_2'; S_ZF = G_ZF * Y; rA_data_I = real(S_ZF(1,:)); rA_data_Q = imag(S_ZF(1,:)); rB_data_I = real(S_ZF(2,:)); rB_data_Q = imag(S_ZF(2,:)); end