基于MATLAB的自适应调制解调通信系统的误码率仿真,对比BPSK,QPSK,16QAM,64QAM

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');