Shadowed Rician Distribution is a term of Confluent hypergeometric function and is given in equation 3 in the attached paper. Any help would be appreciated!
Please refer to this code:
function y = ricepdf(x, v, s)
%RICEPDF Rice/Rician probability density function (pdf).
% y = ricepdf(x, v, s) returns the pdf of the Rice (aka Rician)
% distribution with parameters v and s, evaluated at the values in x.
%
% R ~ Rice(v, s) if R = sqrt(X^2 + Y^2), where X ~ N(v*cos(a), s^2) and
% Y ~ N(v*sin(a), s^2) are independent normal distributions (any real a).
% Note that v and s are *not* the mean and standard deviation of R -- use
% ricestat to get these statistics for specified v and s.
% The size of Y is the common size of the input arguments. A scalar
% input functions as a constant matrix of the same size as the other
% inputs.
% Reference: http://en.wikipedia.org/wiki/Rice_distribution (!)
% Example:
% x = linspace(0, 8, 100);
% figure; subplot(2, 1, 1)
% plot(x, ricepdf(x, 0, 1), x, ricepdf(x, 1, 1),...
% x, ricepdf(x, 2, 1), x, ricepdf(x, 4, 1))
% title('Rice PDF with s=1')
% legend('v=0', 'v=1', 'v=2', 'v=4')
% subplot(2,1,2)
% plot(x, ricepdf(x, 1, 0.25), x, ricepdf(x, 1, 0.50),...
% x, ricepdf(x, 1, 1.00), x, ricepdf(x, 1, 2.00))
% title('Rice PDF with v=1')
% legend('s=0.25', 's=0.50', 's=1.00', 's=2.00')
% See also RICERND, RICESTAT.
% Missing (?) 'See also's RICECDF, RICEFIT, RICEINV, RICELIKE
% Inspired by normpdf from the MATLAB statistics toolbox
% Copyright 2008 Ged Ridgway (Ged at cantab dot net)
s2 = s.^2; % (neater below)
try
y = (x ./ s2) .*...
exp(-0.5 * (x.^2 + v.^2) ./ s2) .*...
besseli(0, x .* v ./ s2);
% besseli(0, ...) is the zeroth order modified Bessel function of
% the first kind. (see help bessel)
y(x
thanks sir for your help
this is rice pdf not the shadowed rice pdf which is different from rice pdf.
Shakeel Rehman you can use for your need
http://in.mathworks.com/matlabcentral/fileexchange/57316-shadowed-rician-distribution-random-number-generator
Thanks Ashish, Can you tell how it is correctly generating .
should I need to multiply it by 1/sqrt(2) in order to generate shadowed rician fading channel
Hi
Dears
Ashish Meshram and Neeraj Varshney actually i need shadowed Rician Matlab code as well but i cant find it from your attache link
http://in.mathworks.com/matlabcentr...istribution-random-number-generator
could you please send me this code?
[email protected]
thanks
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