Title :
Parameter estimation of K distribution based on second-kind statistics
Author :
Zengguo Sun ; Chongzhao Han ; Xianghui Yuan
Author_Institution :
Sch. of Electron. & Inf. Eng., Xi´an Jiaotong Univ., Xi´an, China
Abstract :
The parameters of K distribution are estimated in this paper, and the log-cumulant estimator is proposed based on second-kind statistics. The performance of the log-cumulant estimator is tested on the Monte Carlo simulations. Parameter estimation results demonstrate that the log-cumulant estimator leads to high estimation accuracy for the small values of the shape parameter.
Keywords :
Monte Carlo methods; parameter estimation; radar clutter; radar imaging; statistical distributions; K distribution; Monte Carlo simulation; log-cumulant estimator; parameter estimation; radar clutter; radar image; second-kind statistics; shape parameter; Accuracy; Estimation; Mathematical model; Monte Carlo methods; Parameter estimation; Shape; Speckle; K distribution; log-cumulant estimator; parameter estimation; second-kind statistics;
Conference_Titel :
Information Fusion (FUSION), 2010 13th Conference on
Conference_Location :
Edinburgh
Print_ISBN :
978-0-9824438-1-1
DOI :
10.1109/ICIF.2010.5711946
