uwb_monopulse1.m

UWB matlab 仿真源代码

%  Title: UWB monopulse1 
%   Author: J C 
%   Summary: Plots the time and frequency waveforms for UWB analysis. 
%   MATLAB Release: R13 
%   Description: This m file plots the time and frequency wave forms 
%   for the 1st and 2nd derivative equations used in UWB system analysis. 
%   Other information is included. 
%  
     
% UWB_MONOCYCLE1-Run from editor debug(F5)
% This m file plots the time and frequency waveforms for the 1st and 2nd derivative 
% equations used in UWB system analysis. Fudge factors are required to
% correct for inaccuracies in the 1st and 2nd derivative equations.
% Tail to tail on the time wave forms must be considered as the actual pulse width. 
% 7*PW1 has about 99.9% of the signal power. The frequency spreads and center 
% frequencies(fc=center of the spread)are basically correct as you can verify(fc~1/pw1).
% Change t and fudge factor for other pulse widths and zooming in on the time waveforms.
% Signal available to test FFT.Another signal is available for notching the frequency spread
% which could be future direction for adaptive UWB systems or could be used for basic multipath
% and interference analysis depending on what equation is used.

pw1=.25e-9;     %pulse width in nanosec,change to desired width
pw=pw1/4.5;     %Fudge factor for inaccurate PWs,4-5 for 1st der. and 2-3 for 2nd der.
Fs=20e9;        %sample frequency
Fn=Fs/2;        %Nyquist freq
t=-3e-9:1/Fs:3e-9; %time vector sampled at Fs hertz
td=0;           %time delay-PPM(pulse position modulation) with td=0 a zero bit and td>0=1 bit
A=1;            %PAM(pulse amplitude modulation) with A=1 a zero bit and A>1=1 bit
% Phase=+/-180 degrees BPSK-not sure how to do this. Need to put for loops in for
% many pulses and rates for all three types of modulation
x =((t-td)/pw).^2;
% y=A.*exp(0.5.*(-x));%Gaussian pulse function
y=A*(t/pw).*exp(-x);%1st derivative Gaussian pulse=Gaussian monocycle
% y =A*(1 - 4*pi.* x).* exp(-2*pi.* x);%2nd derivative Gaussian pulse=doublet(two zero crossings) 
% y=sin(2*pi.*t*2e9);%test signal only-%out 1st and 2nd derivative signals
% y=y.*sin((2*pi*t*2.e9).^2);%provides spectrum notches for adaptive schemes
figure(1)
plot(t,y) %time domain
title('Time domain');
xlabel('nanoseconds');ylabel('amplitude')
grid on
NFFY=2.^(ceil(log(length(y))/log(2)));
FFTY=fft(y,NFFY);%pad with zeros
NumUniquePts=ceil((NFFY+1)/2); 
FFTY=FFTY(1:NumUniquePts);
MY=abs(FFTY);
MY=MY*2;
MY(1)=MY(1)/2;
MY(length(MY))=MY(length(MY))/2;
MY=MY/length(y);
f=(0:NumUniquePts-1)*2*Fn/NFFY;
figure(2)
plot(f,MY);
%plot(f,20*log10(MX));%frequency domain
title('frequency domain')
xlabel('Frequency');ylabel('Amplitude')
%axis([0 .1e9 -60 0])%zoom in
grid on