Title :
A method for estimating the parameters of the K distribution
Author :
Iskander, D. Robert ; Zoubir, Abdelhak M. ; Boashash, Boualem
Author_Institution :
Centre for Eye Res., Queensland Univ. of Technol., Brisbane, Qld., Australia
fDate :
4/1/1999 12:00:00 AM
Abstract :
A method that combines the maximum likelihood and the method of moments for estimating the parameters of the K distribution is proposed. The method results in the lowest variance of parameter estimates when compared with existing non-ML techniques
Keywords :
maximum likelihood estimation; method of moments; parameter estimation; probability; signal processing; statistical analysis; K distribution; maximum likelihood method; method of moments; parameter estimation; signal processing; Australia; Maximum likelihood estimation; Message-oriented middleware; Moment methods; Nonlinear equations; Parameter estimation; Probability density function; Radar applications; Radar signal processing; Random variables;
Journal_Title :
Signal Processing, IEEE Transactions on
