test_sc2.m

基于小波变换的调制识别方法.里面包含如下内容：QAM、PSK、FSK、AM和OFDM信号源生成程序

x_time = 0.02;

 r=randint(1,1,1000);%产生随机数
sim('test_source1');%启动仿真数据源

data1=hilbert(FSK(1:8000));%希尔伯特变换
%=awgn(x,snr,'measured');
data=data1/sqrt(sum(real(data1).*real(data1)+imag(data1).*imag(data1))/length(data1));%功率归一化处理
dataa=data./abs(data);%幅度归一化 
scal = 4;
coef1= cwt(data,scal,'haar');%小波变换处理
coef2= cwt(dataa,scal,'haar');
a1=abs(coef1(1:8000));b1=abs(coef2(1:8000));%小波变换包络

data1 =hilbert(PSK(1:8000));
data =data1/sqrt(sum(real(data1).*real(data1)+imag(data1).*imag(data1))/length(data1));
dataa=data./abs(data);
scal = 4;
coef1= cwt(data,scal,'haar');
coef2= cwt(dataa,scal,'haar');
a2=abs(coef1(1:8000));b2=abs(coef2(1:8000));


data1 =hilbert(QAM(1:8000));
data = data1/sqrt(sum(real(data1).*real(data1)+imag(data1).*imag(data1))/length(data1));
dataa=data./abs(data);
scal = 4;
coef1= cwt(data,scal,'haar');
coef2= cwt(dataa,scal,'haar');
a3=abs(coef1(1:8000));b3=abs(coef2(1:8000));
%不幅度归一化时信号的包络
figure(1);
subplot(3,2,1);plot(a3);
ylabel('|HWT|');
title(' QAM signal without amplitude normalization');
subplot(3,2,3);plot(a2);
ylabel('|HWT|');
title(' PSK signal without amplitude normalization');
subplot(3,2,5);plot(a1);
xlabel('data size');
ylabel('|HWT|');axis([0 8000 0 2 ]);
title(' FSK signal without amplitude normalization');
%幅度归一化时信号的包络
subplot(3,2,2);plot(b3);
ylabel('|HWT|');
title(' QAM signal with amplitude normalization');
subplot(3,2,4);plot(b2);
ylabel('|HWT|');
title('PSK signal with amplitude normalization');
subplot(3,2,6);plot(b1);
xlabel('data size');
ylabel('|HWT|');axis([0 8000 0 2 ]);
title(' FSK signal with amplitude normalization');