MIMO Communication in MATLAB

 

The code below is an example of 2 X 2 MIMO.

 

MATLAB Code

clc;
clear all;
close all;

% MIMO System Parameters
numTx = 2; % Number of transmit antennas
numRx = 2; % Number of receive antennas
numSymbols = 50; % Number of symbols to transmit

% Generate random binary data
data = randi([0, 1], numTx, numSymbols);

% PSK Modulation (BPSK)
modulatedSymbols = 1 - 2 * data; % BPSK modulation: '0' maps to +1, '1' maps to -1

% Precoding (Identity Matrix for demonstration)
precodingMatrix = eye(numTx);

% Transmit Signal
transmitSignal = precodingMatrix * modulatedSymbols;

% Channel (Rayleigh Fading Channel)
H = (randn(numRx, numTx) + 1i * randn(numRx, numTx)) / sqrt(2); % Rayleigh fading channel

% Received Signal
receivedSignal = H * transmitSignal;

% Demodulation
demodulatedSymbols = H' * receivedSignal;

% PSK Demodulation (BPSK)
receivedData = demodulatedSymbols < 0; % Decision threshold at 0

Output

 

 

 

Fig 1: Original Message Bits

 

 

 

 

 

 Fig 2: Received Message Bits

Copy the MATLAB Code from here

% The code is written by SalimWireless.Com clc; clear all; close all; % MIMO System Parameters numTx = 2; % Number of transmit antennas numRx = 2; % Number of receive antennas numSymbols = 50; % Number of symbols to transmit % Generate random binary data data = randi([0, 1], numTx, numSymbols); % PSK Modulation (BPSK) modulatedSymbols = 1 - 2 * data; % BPSK modulation: '0' maps to +1, '1' maps to -1 % Precoding (Identity Matrix for demonstration) precodingMatrix = eye(numTx); % Transmit Signal transmitSignal = precodingMatrix * modulatedSymbols; % Channel (Rayleigh Fading Channel) H = (randn(numRx, numTx) + 1i * randn(numRx, numTx)) / sqrt(2); % Rayleigh fading channel % Received Signal receivedSignal = H * transmitSignal; % Demodulation demodulatedSymbols = H' * receivedSignal; % PSK Demodulation (BPSK) receivedData = demodulatedSymbols < 0; % Decision threshold at 0