📄 project313.m
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%
% project313
%
%========================================================================
clear
close all
clc
%========================================================================
fMHz=2000; % Frequency in MHz
Lcorr=30; % Correlation distance in meters
EIRP=30; % EIRP dBm
AA=100; % Loss at 1 km
n=3.6; % Propagation exponent
SS=7; % Location variability in dB
%=======================================================================
lambdac=300/fMHz; % wavelength in m
ds=lambdac;
Distance= 30; % simulated distance (km)
InterpRate=round(Lcorr/ds)
Lcorr=InterpRate*ds % slightly correct Lcorr to make it a multiple of ds
Nsamples=round((Distance-1)*1000/Lcorr);
% Create Gaussian series ================================================
d_axis1=1+[0:Nsamples-1]'*Lcorr/1000;
veryslowVars=EIRP-AA-10*n*log10(d_axis1);
slowVars=randn(Nsamples,1)*SS;
R=veryslowVars+slowVars;
figure,plot(d_axis1,veryslowVars,'k',d_axis1,R,'k:')
xlabel('Traversed distance (km)')
ylabel('Slow signal variations (dBm)')
ylabel('Slow variations autocorrelation')
d_axis2=(1000+([1:1/InterpRate:Nsamples]-1)*Lcorr)/1000;
Rinterpolated=interp1(d_axis1,R,d_axis2,'spline');
figure,plot(d_axis1,veryslowVars,'k',d_axis2,Rinterpolated,'k:')
xlabel('Traversed distance (km)')
ylabel('Slow signal variations (dBm)')
ylabel('Slow variations autocorrelation')
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