Fast Estimation of Multilook K-Distribution Parameters via the Least-Squares Nonlinear Curve-Fitting

被引：0
|
作者：
Jian, Yang [1 ]
Qiang, Zhou [1 ]
Qu Chang-wen [1 ]
Hou Hai-ping [2 ]
机构：
[1] Naval Aeronaut & Astronaut Univ, Dept Elect & Informat Engn, Yantai, Peoples R China
[2] PLA 91039 Unit, Beijing, Peoples R China
来源：
PROCEEDINGS OF 2012 IEEE 11TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING (ICSP) VOLS 1-3 | 2012年
关键词：
K-distribution; parameter estimation; least squares; nonlinear curve fitting; MAXIMUM-LIKELIHOOD-ESTIMATION; CLUTTER;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper the author propose a fast and efficient algorithm for multilook K-distribution parameter estimation. It is base on the approximate inverse function of log (nu)-psi(nu), which is calculated by the least squares nonlinear curve fitting technique. Numerical experiments demonstrate the efficiency and accuracy of this new algorithm.
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页码：856 / +
页数：2
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