基于MATLAB的MIMO - OFDM通信系统的仿真代码
时间: 2023-12-29 22:04:03 浏览: 82
好的,以下是一个基于MATLAB的MIMO-OFDM通信系统仿真的示例代码:
```matlab
%% 仿真参数设置
clc;
clear all;
close all;
% 调制方式
modulation = '16qam';
% 子载波数目
numSubcarriers = 64;
% 循环前缀长度
cpLength = 16;
% 天线数
numTxAntennas = 2;
numRxAntennas = 2;
% 信噪比范围
snrRange = 0:2:20;
% 仿真帧数
numFrames = 100;
% 编码方式
trellis = poly2trellis(7, [133 171]);
%% 构建通信系统模型
% OFDM调制解调器
ofdmMod = comm.OFDMModulator('FFTLength', numSubcarriers, ...
'CyclicPrefixLength', cpLength, 'NumGuardBandCarriers', [6;5], ...
'InsertDCNull', true, 'PilotInputPort', true, ...
'NumPilotCarriers', numSubcarriers/4, 'PilotCarrierIndices', ...
[12;26;40;54], 'Windowing', true, 'WindowLength', 24, ...
'WindowName', 'Hanning', 'NormalizationMethod', 'power', ...
'AveragePower', 1);
ofdmDemod = comm.OFDMDemodulator('FFTLength', numSubcarriers, ...
'CyclicPrefixLength', cpLength, 'NumGuardBandCarriers', [6;5], ...
'RemoveDCCarrier', true, 'PilotOutputPort', true, ...
'NumPilotCarriers', numSubcarriers/4, 'PilotCarrierIndices', ...
[12;26;40;54], 'Windowing', true, 'WindowLength', 24, ...
'WindowName', 'Hanning', 'NormalizationMethod', 'power');
% 调制解调器
switch modulation
case 'bpsk'
mod = comm.BPSKModulator();
demod = comm.BPSKDemodulator();
case 'qpsk'
mod = comm.QPSKModulator();
demod = comm.QPSKDemodulator();
case '16qam'
mod = comm.RectangularQAMModulator('ModulationOrder', 16, ...
'BitInput', true);
demod = comm.RectangularQAMDemodulator('ModulationOrder', 16, ...
'BitOutput', true);
case '64qam'
mod = comm.RectangularQAMModulator('ModulationOrder', 64, ...
'BitInput', true);
demod = comm.RectangularQAMDemodulator('ModulationOrder', 64, ...
'BitOutput', true);
otherwise
error('不支持该调制方式');
end
% 编码解码器
encoder = comm.TrellisEncoder(trellis);
decoder = comm.TrellisDecoder(trellis, 'OutputDataType', 'double');
% MIMO信道
mimoChan = comm.MIMOChannel('SampleRate', 2e6, 'PathDelays', [0 1.5e-6], ...
'AveragePathGains', [0 -3], 'MaximumDopplerShift', 30, ...
'SpatialCorrelationSpecification', 'None', 'ReceiveCorrelationMatrix', ...
eye(numRxAntennas), 'TransmitCorrelationMatrix', eye(numTxAntennas), ...
'NumTransmitAntennas', numTxAntennas, 'NumReceiveAntennas', numRxAntennas);
% AWGN信道
awgnChan = comm.AWGNChannel('NoiseMethod', 'Signal to noise ratio (SNR)', ...
'SNR', 0);
%% 开始仿真
% 误码率存储
ber = zeros(length(snrRange), 1);
for snrIdx = 1:length(snrRange)
awgnChan.SNR = snrRange(snrIdx);
errorRate = comm.ErrorRate();
for frameIdx = 1:numFrames
% 生成随机数据
data = randi([0 1], numSubcarriers*mod.InputBitPerSymbol*numTxAntennas, 1);
% 编码
encodedData = encoder(data);
% 调制
modData = mod(encodedData);
% OFDM调制
ofdmData = ofdmMod(reshape(modData, numSubcarriers, []));
% MIMO发送
txSig = mimoChan(ofdmData.');
% AWGN信道
rxSig = awgnChan(txSig);
% MIMO接收
rxOfdmData = mimoChan(rxSig);
% OFDM解调
demodData = ofdmDemod(rxOfdmData).';
% 解调
demodulatedData = demod(demodData(:));
% 解码
decodedData = decoder(demodulatedData);
% 计算误码率
errorStats = errorRate(data, decodedData);
end
% 存储误码率
ber(snrIdx) = errorStats(1);
end
%% 结果展示
% 绘制误码率曲线
figure;
semilogy(snrRange, ber);
title('MIMO-OFDM系统误码率曲线');
xlabel('信噪比(dB)');
ylabel('误码率');
grid on;
```
此代码实现了一个基于16QAM调制的MIMO-OFDM通信系统的仿真,包括了调制解调、编码解码、OFDM调制解调、MIMO发送接收、AWGN信道等模块,并且可以绘制误码率曲线进行性能评估。您可以根据实际需求进行修改和扩展。
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