TO DISPALY RAYLEIGH AWGN PLOT AND CALCULATE LCR AND AFD PLOT AND VERIFYING IT WITH MONTE CARLO

TO DISPALY RAYLEIGH AWGN PLOT AND CALCULATE LCR AND AFD PLOT AND VERIFYING IT WITH MONTE CARLO
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Actualizado 14 may 2015

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clc;
clear all;
close all;

% description of the values

N=100;
d=input('enter the velocity in km/hr ');
fc=input('enter the carrier frequency in hz');

% finding doppler frequency

v=d*5/18;
lambda=(3*(10^8))/fc;
vmax=v/lambda;

% definig 8000 samples

s= 8000;
Ts=1/s;
t=0:2*Ts:2;

u=500;

% envelope of inphase and qudrature

a=length(t);
% r_I=zeros(1,a);
% r_Q=zeros(1,a);
b=sqrt(N);
vmaxa=zeros(1,length(u));
%monte carlo
r=1:500;
for ua =1:u

r_I=zeros(1,a);
r_Q=zeros(1,a);
% b=sqrt(N);

for k=1:N
theta=rand*360;
phi=rand*360;
r_I=r_I+(randn*cos(2*pi*vmax*cosd(theta)*t+phi)*(1/b));
r_Q=r_Q+(randn*sin(2*pi*vmax*cosd(theta)*t+phi)*(1/b));
end

z=(r_I+1i*r_Q);
x=abs(z);
y=10*log(x);

% LCR and ADF

w=10^-0.3;
rms=sqrt(mean(x.^2));
wh=w/(sqrt(2)*rms);
df=(vmax*2);
T=1/df;
c1=0;
c2=0;



for j=1:length(x)
if x(j) > w
c1=c1+1;
end

if x(j) < w
c2=c2+1;
end
end

LCR_n =((c1/2)/(T*s))+1/2;


% estimating the velocity after the numerical LCR

vmaxa(ua)=LCR_n/(sqrt(2*pi)*wh*exp(-(wh^2)));

end

ka=mean(vmaxa);
ve=vmaxa*lambda;
velo=ve*18/5;
k=sum(velo);
v=k/u;
display(v);
plot(r,velo);
title('DIFFERENT VALUES OF VELOCITY');
xlabel('ITERATION ');
ylabel('VELOCITY');

Citar como

raghav khandelwal (2024). TO DISPALY RAYLEIGH AWGN PLOT AND CALCULATE LCR AND AFD PLOT AND VERIFYING IT WITH MONTE CARLO (https://www.mathworks.com/matlabcentral/fileexchange/50854-to-dispaly-rayleigh-awgn-plot-and-calculate-lcr-and-afd-plot-and-verifying-it-with-monte-carlo), MATLAB Central File Exchange. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R2009b
Compatible con cualquier versión
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Más información sobre Detection, Range and Doppler Estimation en Help Center y MATLAB Answers.

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1.0.0.0