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

 
%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');