1. Algorithm description

        The channel is Rayleigh Fading channel Performance analysis and Nakagami-m Fading channel Performance analysis under . The simulation parameters we adopt in this subject are as follows ：

simulink The simulation model is as follows ：

2. Partial procedure  

clc;
clear;
close all;
warning off;

% Parameter initialization 
% Mainly used for setting noise 
EbNo            = 1000;
SNR             = 10^(EbNo/10);
sigma           = 1/(sqrt(SNR))/2;
% System parameter initialization 
Rb              = 100;%100bps
Sample_times    = 0.02;
Sample_Num      = 40;
MSK_track_depth = 16;

% Comb jamming effectiveness setting 
S1              = 1;
S2              = 1;
S3              = 1;
S4              = 1;
S5              = 1;
S6              = 1;
S7              = 1;
S8              = 0;
S9              = 0;
S10             = 0;


% See the following five figures for details simulink Internal corresponding icon 
% chart 4 Frequency hopping carrier spectrum 
% chart 5 Spectrum diagram of modulated output signal of the source 
% chart 6 Spectrum diagram of signal after frequency hopping spread spectrum 
% chart 8 Broadband noise interference spectrum 
% chart 12 Comb interference spectrum (7 A frequency point )

open('tops.mdl');
sim('tops.mdl');

% The following two figures are simulation diagrams of bit error rate , It is necessary to recall the simulation under different signal-to-noise ratios 
% So you need to write the following code 
% chart 9 Broadband noise interference signal-to-noise ratio bit error rate curve 
%tops1.mdl
% Noise interference 
EbNo            = [-20:2:6];
for i = 1:length(EbNo)
    i
    SNR             = 10^(EbNo(i)/10);
    sigma           = 1/(sqrt(SNR))/2;
    sim('tops1.mdl');
    Err1(i)         = err1.signals.values(end,1);
end
figure;
semilogy(EbNo,Err1,'b-o');
xlabel('db');
xlabel('db');
grid on


%tops2.mdl
% Single frequency interference 
for i = 1:length(EbNo)
    i
    SNR             = 10^(EbNo(i)/10);
    sigma           = 1/(sqrt(SNR))/2;
    sim('tops2.mdl');
    Err2(i)         = err2.signals.values(end,1);
end
figure;
semilogy(EbNo,Err2,'b-o');
xlabel('db');
xlabel('db');
grid on


%tops2.mdl
% Single frequency interference 
for i = 1:length(EbNo)
    i
    SNR             = 10^(EbNo(i)/10);
    sigma           = 1/(sqrt(SNR))/2;
    sim('tops3.mdl');
    Err3(i)         = err3.signals.values(end,1);
end
figure;
semilogy(EbNo,Err3,'b-o');
xlabel('db');
xlabel('db');
grid on


save data1.mat EbNo Err1
save data2.mat EbNo Err2
save data3.mat EbNo Err3

3. Preview of some simulation drawings

4. Source code acquisition method  

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m be based on Simulink Analysis of anti-interference performance of high-speed frequency hopping communication system + Program operation video +word Version Description Document

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