1.算法仿真效果
matlab2022a仿真结果如下：
2.算法涉及理论知识概要
BPSK：Binary Phase Shift Keying 二相相移键控,一个符号代表1bit
QPSK：Quadrature Phase Shift Keying 四相相移键控，一个符号代表2bit
8PSK：8 Phase Shift Keying 八相相移键控，一个符号代表3bit
16QAM：16 Quadrature Amplitude Modulation 16正交幅相调制，一个符号代表4bit
64QAM：64 Quadrature Amplitude Modulation 64正交幅相调制，一个符号代表6bitPSK是相移键控（Phase Shift Keying），是通过相位的变化代表“0”和“1”的。BPSK中的B是“Binary”的意思，也就是有两个变化状态，比如说相位上的“+90°（代表1）、-90°（代表0）”，一个状态代表的就是一个比特。QPSK的“Q”是“Quadrature”的意思，有四个变化状态，如相位上的“+45°（代表00）、-45°（代表11）、+135°（代表10）、-135°（代表01）”，那么一个状态就代表两个比特的信息，如图2所示。同理8PSK的一个状态代表三个比特。
等到QAM调制方式的时候，由于要描述的状态多了，只靠相位区分状态就不够了（相互区别起来有些困难了），需要加入幅度的变化来表示一个状态。16QAM就是状态空间为16，每个状态是4个比特的信息；而64QAM的状态空间是64，每个状态是6个比特的信息.
3.MATLAB核心程序 `load dat.mat
%传输
SNRdB = 0:5:30;
SER_matrix = zeros(5,length(SNRdB));
Ttotal_matrix = zeros(5,length(SNRdB));
for i = 1:5
for j = 1:length(SNRdB)
[i,j]
[temp1,temp2] = TransmissionEffectFun(dats,SNRdB(j),i);
SER_matrix(i,j) = temp1;
Ttotal_matrix(i,j) = temp2;
end
end
figure
subplot(231)
semilogy(SNRdB,SER_matrix(1,:),'-bs',...
'LineWidth',1,...
'MarkerSize',8,...
'MarkerEdgeColor','k',...
'MarkerFaceColor',[0.9,0.9,0.0]);
legend('BPSK');
xlabel('SNR');
ylabel('误码率');
grid on
subplot(232)
semilogy(SNRdB,SER_matrix(2,:),'-mo',...
'LineWidth',1,...
'MarkerSize',6,...
'MarkerEdgeColor','k',...
'MarkerFaceColor',[0.5,0.9,0.0]);
legend('QPSK');
xlabel('SNR');
ylabel('误码率');
grid on
subplot(233)
semilogy(SNRdB,SER_matrix(3,:),'-b^',...
'LineWidth',1,...
'MarkerSize',6,...
'MarkerEdgeColor','k',...
'MarkerFaceColor',[0.2,0.9,0.5]);
legend('16QAM');
xlabel('SNR');
ylabel('误码率');
grid on
subplot(234)
semilogy(SNRdB,SER_matrix(4,:),'-r>',...
'LineWidth',1,...
'MarkerSize',6,...
'MarkerEdgeColor','k',...
'MarkerFaceColor',[0.9,0.9,0.0]);
legend('64QAM');
xlabel('SNR');
ylabel('误码率');
grid on
subplot(235)
semilogy(SNRdB,SER_matrix(5,:),'-r<',...
'LineWidth',1,...
'MarkerSize',6,...
'MarkerEdgeColor','k',...
'MarkerFaceColor',[0.9,0.3,0.3]);
grid on
legend('自适应调制');
xlabel('SNR');
ylabel('误码率');
figure
semilogy(SNRdB,SER_matrix(1,:),'-bs',...
'LineWidth',1,...
'MarkerSize',8,...
'MarkerEdgeColor','k',...
'MarkerFaceColor',[0.9,0.9,0.0]);
hold on
semilogy(SNRdB,SER_matrix(2,:),'-mo',...
'LineWidth',1,...
'MarkerSize',6,...
'MarkerEdgeColor','k',...
'MarkerFaceColor',[0.5,0.9,0.0]);
hold on
semilogy(SNRdB,SER_matrix(3,:),'-b^',...
'LineWidth',1,...
'MarkerSize',6,...
'MarkerEdgeColor','k',...
'MarkerFaceColor',[0.2,0.9,0.5]);
hold on
semilogy(SNRdB,SER_matrix(4,:),'-r>',...
'LineWidth',1,...
'MarkerSize',6,...
'MarkerEdgeColor','k',...
'MarkerFaceColor',[0.9,0.9,0.0]);
hold on
semilogy(SNRdB,SER_matrix(5,:),'-r<',...
'LineWidth',1,...
'MarkerSize',6,...
'MarkerEdgeColor','k',...
'MarkerFaceColor',[0.9,0.3,0.3]);
grid on
legend('BPSK','QPSK','16QAM','64QAM','自适应调制');
xlabel('SNR');
ylabel('误码率');
figure
plot(SNRdB,Ttotal_matrix(1,:),'-bs',...
'LineWidth',1,...
'MarkerSize',6,...
'MarkerEdgeColor','k',...
'MarkerFaceColor',[0.9,0.0,0.0]);
hold on
plot(SNRdB,Ttotal_matrix(2,:),'-mo',...
'LineWidth',1,...
'MarkerSize',6,...
'MarkerEdgeColor','k',...
'MarkerFaceColor',[0.5,0.9,0.0]);
hold on
plot(SNRdB,Ttotal_matrix(3,:),'-b^',...
'LineWidth',1,...
'MarkerSize',6,...
'MarkerEdgeColor','k',...
'MarkerFaceColor',[0.2,0.9,0.5]);
hold on
plot(SNRdB,Ttotal_matrix(4,:),'-r>',...
'LineWidth',1,...
'MarkerSize',6,...
'MarkerEdgeColor','k',...
'MarkerFaceColor',[0.9,0.9,0.0]);
hold on
plot(SNRdB,Ttotal_matrix(5,:),'-r<',...
'LineWidth',1,...
'MarkerSize',6,...
'MarkerEdgeColor','k',...
'MarkerFaceColor',[0.9,0.3,0.3]);
grid on
legend('BPSK','QPSK','16QAM','64QAM','自适应调制');
xlabel('SNR');
ylabel('传输时间');`
