How can I plot Nakagami-m fading channel?
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How can I plot Nakagami-m fading channel? How to do simulation like Rician and Rayleigh fading channel? Does anyone have a code?
3 Kommentare
sai shankar
am 3 Nov. 2020
clc; clear all; close all;
colors=['r','g','b'] ;
m = 1;
x = [0:0.05:3];
for w = 1:3
for ii = 1:length(x)
y(ii)=((2*m^m)/(gamma(m)*w^m))*x(ii)^(2*m-1)*exp(-((m/w)*x(ii)^2));
end
plot(x,y,colors(w))
hold on
end
xlabel('Support');
ylabel('PDF');
title('probability density function')
hleg1 = legend('w=1','w=2','w=3');
set(hleg1,'Location','NorthEast')
axis([0 3 0 2]);
grid on
Antworten (3)
Muntaseer Rahman
am 4 Mär. 2020
I also really need the code to simulate the nakagami channel. Can anyone please help?
1 Kommentar
Fernando Moya
am 30 Mär. 2020
Hi Muntaseer, were you able to find the way to simulate Nakagami channel? I need the same
Priyanshu Mishra
am 27 Jan. 2020
Hi Mofadal,
For Nakagami-m fading channel I would like you to go through the file exchange provided by the Jamal Ahmad
1 Kommentar
Ali Raza
am 23 Nov. 2021
Hope this reply finds you well. Please see the following link for the generating the different distributions i.e., Nakagami-m, Rayleigh, Rice, etc. https://www.mathworks.com/matlabcentral/fileexchange/7309-randraw
You can use the following code line to draw Nakagami distibution with shape parameter of m and n random numbers;
h=randraw('nakagami', 1, [1,n]); %m=1 case of Rayleigh
3 Kommentare
ALPER ATES
am 7 Mai 2022
Bearbeitet: ALPER ATES
am 7 Mai 2022
Could you please tell me how can i get the Rayleigh case by using Nakagami distribution following code 'h=randraw('nakagami', 1, [1,n]); %m=1 case of Rayleigh'.
I know , when m=1; case of Rayleigh but what about scale parameters n ( in other words omega) ?.
Which n value do I need to choose as the scale parameter to obtain Rayleigh case by using following nakagami -m distribution matlab code 'h=randraw('nakagami', 1, [1,n]); %m=1 case of Rayleigh',
Adel Litim
am 25 Mai 2023
use this command to get help : randraw('nakagami')
you can use this function :
randraw('nakagami', [m, omega], sampleSize)
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