添加自生成波形测试
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37c7e00507
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% Test Tx DMA data output
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amplitude = 2^15;
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frequency = 0.30e6;
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swv1 = dsp.SineWave(amplitude, frequency);
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swv1.ComplexOutput = true;
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swv1.SamplesPerFrame = 1e5;
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swv1.SampleRate = 3e6;
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y = swv1();
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plot(real(y))
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uri = 'ip:192.168.2.1';
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fc = 1e9;
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T=10e-3; %信号时宽
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B=3e6; %信号带宽
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fs=4*B; %采样频率
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N=fix(T*fs); %采样点数
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x = 0:T/N:T;
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y= x(1:2:N); %采样x的奇数点
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z=x(2:2:N);%采样x的偶数点
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fi=10000*sin(2*pi*30000*y) + 10000*sin(2*pi*900000*y);
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fq=10000*sin(2*pi*30000*z) + 10000*sin(2*pi*900000*z);
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subplot(2,2,1)
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plot(fi)
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subplot(2,2,2)
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plot(fq)
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complexArray = fi + fq*1i;
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complexArray = complexArray';
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%% Tx set up
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tx = adi.AD9361.Tx('uri',uri);
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tx.CenterFrequency = fc;
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tx.DataSource = 'DMA';
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tx.EnableCyclicBuffers = true;
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tx.AttenuationChannel0 = -20;
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tx(complexArray);
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%% Rx set up
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rx = adi.AD9361.Rx('uri',uri);
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rx.CenterFrequency = fc;
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rx.SamplingRate = 1000833
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%% Run
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for k=1:10
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valid = false;
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while ~valid
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[out, valid] = rx();
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end
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end
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rx.release();
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tx.release();
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%% Plot
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nSamp = length(out);
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fs = tx.SamplingRate;
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FFTRxData = fftshift(10*log10(abs(fft(out))));
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df = fs/nSamp; freqRangeRx = (-fs/2:df:fs/2-df).'/1000;
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subplot(1,2,2)
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plot(freqRangeRx, FFTRxData);
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xlabel('Frequency (kHz)');ylabel('Amplitude (dB)');grid on;
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29
libiio_if.m
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libiio_if.m
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@ -679,18 +679,23 @@ classdef libiio_if < handle
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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function ret = writeAttributeString(obj, attr_name, str)
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% Find the attribute
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[ret, ch, attr] = findAttribute(obj, attr_name);
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if(ret < 0)
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return;
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end
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% Write the attribute
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if(ret > 0)
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calllib(obj.libname, 'iio_channel_attr_write', ch, attr, str);
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clear ch;
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clear attr;
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else
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calllib(obj.libname, 'iio_device_attr_write', obj.iio_dev, attr_name, str);
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try
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[ret, ch, attr] = findAttribute(obj, attr_name);
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if(ret < 0)
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return;
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end
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% Write the attribute
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if(ret > 0)
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calllib(obj.libname, 'iio_channel_attr_write', ch, attr, str);
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clear ch;
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clear attr;
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else
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calllib(obj.libname, 'iio_device_attr_write', obj.iio_dev, attr_name, str);
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end
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catch e
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disp("error ",e)
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end
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end
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end
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<?xml version="1.0" encoding="UTF-8"?>
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<MF0 version="1.1" packageUris="http://schema.mathworks.com/mf0/SlCache/19700101">
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<slcache.FileAttributes type="slcache.FileAttributes" uuid="eb0bab66-1083-483b-b0a2-4b70471489cd">
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<checksum>VFtF99vSvsCWQT3DC33ogPopY/EU2MB9X+ztRX0tkPyJIk22VJl2UuKDFAE/67uQWgN9IWAxaLNzfOMlT+LNUg==</checksum>
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</slcache.FileAttributes>
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</MF0>
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<?xml version="1.0" encoding="UTF-8"?>
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<MF0 version="1.1" packageUris="http://schema.mathworks.com/mf0/SlCache/19700101">
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<slcache.FileAttributes type="slcache.FileAttributes" uuid="d04eea90-2c62-4acd-b473-68139b218094">
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<checksum>aLg/RUXejXaW8fNin2SGwVZLG/5ro5PG+yBxjklFR/1BBYs/xCj7Lk9CzTx9lqJPd57O5bml0GwA4NkC5cok4g==</checksum>
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</slcache.FileAttributes>
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</MF0>
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clc;
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clear all;
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close all;
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%%
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fsc = 1.0e5; % signal frequency
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fs = 2.0e6; % sampling frequency
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fc = 1.0e10; % carrier frequency
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t = [0:1/fs:0.01]; % time
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% IQ imbalance parameters
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phiDegree = 10; % phase imbalance in degrees
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alpha = 1.3;% amplitude imbalance
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avg=1;
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k=1;
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I_before_correction = cos(2*pi*fc*t)+avg;
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Q_before_correction = (1+alpha)*cos(2*pi*fc*t+phiDegree*pi/180) +k;
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signal_IQ_before = I_before_correction+Q_before_correction*1j;
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figure(1);
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pwelch(signal_IQ_before, [],[],[],fs);
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title('Spectrum at Rx baseband after I/Q correction');
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%求均值
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I_before_correction =I_before_correction-mean(I_before_correction);
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Q_before_correction=Q_before_correction -mean(Q_before_correction);
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%估计参数
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e = sqrt(mean(Q_before_correction.*Q_before_correction)/mean(I_before_correction.*I_before_correction))-1;
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phi = -asin(mean(I_before_correction.*Q_before_correction)/sqrt(mean(I_before_correction.*I_before_correction)*mean(Q_before_correction.*Q_before_correction)));
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%P矩阵求解
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P = [1,0;tan(phi),1/((1+e)*cos(phi))];
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%计算IQ
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IQ = P*[I_before_correction;Q_before_correction];
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%重组信号
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I =IQ(1,:);
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Q =IQ(2,:);
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signal_IQ = Q+I*1j;
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%图形绘制
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figure();
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pwelch(signal_IQ, [],[],[],fs);title('Spectrum at Rx baseband after I/Q correction');
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% 设置来样频率和来样时间fs = 1000;%梁样频率
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Ts = 1/fs;% 采样时间
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% 设置信号爹数
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f=20000;%信号频率
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A =1;% 信号幅度
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%生成正张液信号
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t= 0:0.001:10;%时间向量
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x= A*sin(2*pi*f*t);%正弦浓信号
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% 进行正交采样
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y= x(1:2:end);%采样x的奇数点
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z=x(2:2:end);%采样x的偶数点
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% 绘制原始信号和来样信号
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subplot(3,1,1);
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plot(t,x);
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title('原始信号');xlabel('时间(秒)');ylabel('幅度');
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subplot(3,1,2);
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stem(y);
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title('奇数点采样信号');
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xlabel('采样点');ylabel('幅度');
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subplot(3,1,3);
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stem(z);
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title('偶数点采样信号');
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xlabe1('采样点');ylabel('幅度');
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clear all;
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close all;
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clc;
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%%%%%%%%%%%%%%%%%%%%%%%%%%%% 时域数字正交相干检波 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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%%********** 线性调频信号 ***********%%
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T=10e-3; %信号时宽
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B=30e4; %信号带宽
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fs=4*B; %采样频率
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f0=3/4*fs; %载频频率
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N=fix(T*fs); %采样点数
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t=(-N/2:N/2-1)/fs;
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sr=cos(2*pi*f0*t+pi*(B/T).*t.^2); %sr是以fs=4B的采样频率采样后的数字信号
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figure; plot(t*1e6,sr);
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title('线性调频信号波形');
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xlabel('t/us');
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ylabel('sr');
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%%********** 1.混频 **********%%
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x_I=sr.*cos(2*pi*f0*t);
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x_Q=-sr.*sin(2*pi*f0*t);
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%%********** 2.低通滤波 **********%%
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%使用Parks McClellan算法设计FIR滤波器:Fs=4B,截止频率为B/2,过渡带宽度为B/10.
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fl=200;
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fbe=[0 (B/2)/(fs/2) (B/2+B/10)/(fs/2) 1];
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Damps=[1 1 0 0];
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b=firpm(fl,fbe,Damps);
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figure;
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freqz(b);
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title('FIR滤波器的幅频和相频特性');
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%使用由分子和分母系数 b 和 a=1 定义的有理传递函数对输入数据 x 进行滤波。
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x_I_filter=filter(b,1, x_I );
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figure;subplot(2,1,1); plot(t*1e6,x_I_filter);xlabel('t/us');ylabel('x_I_ filter');title('低通滤波后的I路信号');
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x_Q_filter=filter(b,1, x_Q );
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subplot(2,1,2); plot(t*1e6,x_Q_filter);xlabel('t/us');ylabel('x_Q_ filter');title('低通滤波后的Q路信号');
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%%********** 3.抽样 **********%%
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x_I_ex=x_I_filter(1:2:end);
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figure; subplot(2,1,1);plot(t(1:2:end)*1e6,x_I_ex);xlabel('t/us');ylabel('x_I_ ex');title('抽样后的I路信号');
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x_Q_ex=x_Q_filter(1:2:end);
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subplot(2,1,2); plot(t(1:2:end)*1e6,x_Q_ex);xlabel('t/us');ylabel('x_Q_ ex');title('抽样后的Q路信号');
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%%************ 4.合成 ***********%%
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x_ex= x_I_ex+1j*x_Q_ex;
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figure;
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plot(t(1:2:end)*1e6,x_ex);
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xlabel('t/us');
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ylabel('x_ ex');title('正交下变频的最终合成信号');
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clear all;
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close all;
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clc;
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%%%%%%%%%%%%%%%%%%%%%%%%%%%% 频域数字正交相干检波 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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%%********** 线性调频信号波形 **********%%
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T=10e-6; %信号时宽
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B=30e6; %信号带宽
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fs=4*B; %采样频率
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f0=3/4*fs; %载频频率
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N=fix(T*fs); %采样点数
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t=(-N/2:N/2-1)/fs;
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sr=cos(2*pi*f0*t+pi*(B/T).*t.^2);
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figure;
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subplot(2,1,1);plot(t*1e6,sr); title('线性调频信号波形'); xlabel('t/us'); ylabel('sr');
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%%********** 线性调频信号的频谱 **********%%
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L=2^nextpow2(N);
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Sf1=fftshift(abs(fft(sr,L)));
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f=linspace(-fs/2,fs/2,L);
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subplot(2,1,2);plot(f*1e-6,Sf1); title('线性调频信号频谱'); xlabel('f/MHz'); ylabel('Sf1');
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%%********** 1.频谱搬移 **********%%
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Sf=fftshift(abs(fft(sr.*exp(-1j*2*pi*f0.*t),L)));
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figure;plot(f*1e-6,Sf); title('频谱搬移后的信号'); xlabel('f/MHz'); ylabel('Sf');
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%%********** 2.频率滤波+抽取 **********%%
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Sf_ex=[Sf(1:L/4),Sf(3/4*L+1:end)];
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figure;plot(f(1:2:end)*1e-6,fftshift(Sf_ex)); title('滤波抽取后的信号'); xlabel('f/MHz'); ylabel('Sf_ ex');
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T=10e-3; %信号时宽
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B=3e6; %信号带宽
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fs=4*B; %采样频率
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N=fix(T*fs); %采样点数
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x = 0:T/N:T;
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f=sin(2*pi*300*x) + sin(2*pi*200*x);
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plot(f)
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y= x(1:2:N); %采样x的奇数点
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z=x(2:2:N);%采样x的偶数点
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I =
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T=10e-3; %信号时宽
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B=3e6; %信号带宽
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fs=4*B; %采样频率
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N=fix(T*fs); %采样点数
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x = 0:T/N:T;
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f=sin(2*pi*300*x) + sin(2*pi*200*x);
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y= x(1:2:N); %采样x的奇数点
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z=x(2:2:N);%采样x的偶数点
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fi=sin(2*pi*300*y) + sin(2*pi*200*y);
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fq=sin(2*pi*300*z) + sin(2*pi*200*z);
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subplot(2,2,1)
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plot(fi)
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subplot(2,2,2)
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plot(fq)
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complexArray = fi + fq*1i;
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complexArray = complexArray';
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