基于MATLAB的SISO,SIMO,MOSI,MIMO的信道容量对比的程序
时间: 2024-03-24 13:39:23 浏览: 137
好的,以下是一个基于MATLAB的SISO、SIMO、MISO和MIMO信道容量对比的程序:
```matlab
clear;clc;
% 信道矩阵
H = [0.7 0.3 0.5; 0.5 0.1 0.8; 0.6 0.9 0.4];
% 信噪比范围
SNR_dB = 0:2:20;
SNR = 10.^(SNR_dB/10);
% 计算误差协方差矩阵
N0 = 1; % 噪声功率
sigma2 = N0 ./ (2*SNR); % 方差
R = cell(length(SNR), 1);
for i = 1:length(SNR)
R{i} = sigma2(i) * eye(3);
end
% SISO
capacity_siso = log2(1 + SNR .* H(1,1).^2 / N0);
% SIMO
capacity_simo = zeros(length(SNR), 1);
for i = 1:length(SNR)
capacity_simo(i) = log2(1 + SNR(i) * sum(H(:,1).^2) / N0);
end
% MISO
capacity_miso = zeros(length(SNR), 1);
for i = 1:length(SNR)
capacity_miso(i) = log2(1 + SNR(i) * H(1,:)*R{i}*H(1,:)' / N0);
end
% MIMO
capacity_mimo = zeros(length(SNR), 1);
for i = 1:length(SNR)
capacity_mimo(i) = log2(det(eye(3) + SNR(i)*H*R{i}*H'));
end
% 绘图
figure;
plot(SNR_dB, capacity_siso, 'r-o', 'LineWidth', 2);
hold on;
plot(SNR_dB, capacity_simo, 'g--*', 'LineWidth', 2);
plot(SNR_dB, capacity_miso, 'b-.s', 'LineWidth', 2);
plot(SNR_dB, capacity_mimo, 'm-.d', 'LineWidth', 2);
hold off;
grid on;
legend('SISO', 'SIMO', 'MISO', 'MIMO');
xlabel('信噪比 (dB)');
ylabel('信道容量 (bits/s/Hz)');
```
这段代码会计算SISO、SIMO、MISO和MIMO信道容量,并且绘制它们在不同信噪比下的变化曲线。你可以根据自己的需要修改代码。
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