DocumentCode
539139
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
fYear
2010
fDate
26-29 July 2010
Firstpage
1
Lastpage
6
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Fusion (FUSION), 2010 13th Conference on
Conference_Location
Edinburgh
Print_ISBN
978-0-9824438-1-1
Type
conf
DOI
10.1109/ICIF.2010.5711946
Filename
5711946
Link To Document