Rician Distribution
Definition
The Rician distribution has the density function
with noncentrality parameters≥ 0 and scale parameterσ> 0, forx> 0.I0is the zero-order modified Bessel function of the first kind. Ifxhas a Rician distribution with parameterssandσ, then (x/σ)2has a noncentral chi-square distribution with two degrees of freedom and noncentrality parameter (s/σ)2.
Background
In communications theory,Nakagami distributions, Rician distributions, and瑞利分布are used to model scattered signals that reach a receiver by multiple paths. Depending on the density of the scatter, the signal will display different fading characteristics. Rayleigh and Nakagami distributions are used to model dense scatters, while Rician distributions model fading with a stronger line-of-sight. Nakagami distributions can be reduced to Rayleigh distributions, but give more control over the extent of the fading.
Parameters
To estimate distribution parameters, usemle
or the Distribution Fitter app.
适合Rician分布智慧h Known Scale Parameter
Generate sample data of size 1000 from a Rician distribution with noncentrality parameter of 8 and scale parameter of 5. First create the Rician distribution.
r = makedist('Rician','s',8,'sigma',5);
Now, generate sample data from the distribution you created above.
rngdefault% For reproducibilityx = random(r,1000,1);
Suppose the scale parameter is known, and estimate the noncentrality parameter from sample data. To do this usingmle
, you must custom define the Rician probability density function.
[phat,pci] = mle(x,'pdf',@(x,s,sigma) pdf('rician',x,s,5),'start',10)
phat = 7.8953
pci =2×17.5405 8.2501
The estimate for the noncentrality parameter is 7.8953, with a 95% confidence interval of 7.5404 and 8.2501. The confidence interval includes the true parameter value of 8.