📄 oqpsk.m
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%QPSK & OQPSK
clear all;
close all;
M = 4;
Ts= 1;
fc= 10;
N_sample = 16;
N_num = 100;
dt = 1/fc/N_sample;
t = 0:dt:N_num*Ts-dt;
T = dt*length(t);
py1f = zeros(1,length(t)); %功率谱密度1
py2f = zeros(1,length(t)); %功率谱密度2
for PL=1:100 %输入100段N_num个码字的波形,为了使功率谱密度看起来更加平滑,
%可以取这100段信号功率谱密度的平均
d1 = sign(randn(1,N_num));
d2 = sign(randn(1,N_num));
gt = ones(1,fc*N_sample);
%QPSK调制
s1 = sigexpand(d1,fc*N_sample);
s2 = sigexpand(d2,fc*N_sample);
b1 = conv(s1,gt);
b2 = conv(s2,gt);
s1 = b1(1:length(s1));
s2 = b2(1:length(s2));
st_qpsk = s1.*cos(2*pi*fc*t) - s2.*sin(2*pi*fc*t);
s2_delay= [-ones(1,N_sample*fc/2) s2(1:end-N_sample*fc/2)];
st_oqpsk= s1.*cos(2*pi*fc*t) - s2_delay.*sin(2*pi*fc*t);
%经过带通后,再经过非线性电路
[f y1f] = T2F(t,st_qpsk);
[f y2f] = T2F(t,st_oqpsk);
[t y1] = bpf(f,y1f,fc-1/Ts,fc+1/Ts);
[t y2] = bpf(f,y2f,fc-1/Ts,fc+1/Ts);
subplot(221);
plot(t,y1); xlabel('t'); ylabel('QPSK波形');
axis([5 15 -1.6 1.6]);title('经过带通后的波形');
subplot(222)
plot(t,y2); xlabel('t'); ylabel('OQPSK波形');
axis([5 15 -1.6 1.6]);title('经过带通后的波形');
%经过非线性电路
y1 = 1.5*tanh(2*y1);
y2 = 1.5*tanh(2*y2);
[f y1f] = T2F(t,y1);
[f y2f] = T2F(t,y2);
py1f = py1f + abs(y1f).^2/T; %QPSK不同段信号功率谱密度相加
py2f = py2f + abs(y2f).^2/T; %OQPSK不同段信号功率谱密度相加
end
py1f = py1f/100; %QPSK 100段功率谱密度平均
py2f=py2f/100; %OQPSK 100段功率谱密度平均
subplot(223);
plot(f,10*log10(py1f)); xlabel('f');ylabel('QPSK功率谱密度(dB/Hz)');
title('经过非线性电路后的功率谱密度');axis([ -15 15 -30 10]);
subplot(224)
plot(f,10*log10(py2f));xlabel('f');ylabel('OQPSK功率谱密度(dB/Hz)');
title('经过非线性电路后的功率谱密度');axis([ -15 15 -30 10]);
figure(2)
x = -2:0.1:2;
y=1.5*tanh(2*x);
plot(x,y); title('非线性电路的输入输出函数');
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