Parameters estimation for Generalized K-Distributed clutter model

被引：0

作者：

Ren Shuang-qiao ^{[1
]}

Liu Yong-xiang ^{[1
]}

Li Xiang ^{[1
]}

Zhuang Zhao-wen ^{[1
]}

机构：

[1] Natl Univ Def Technol, Sch Elect Sci & Engn, Changsha, Peoples R China

来源：

PROCEEDINGS OF 2006 CIE INTERNATIONAL CONFERENCE ON RADAR, VOLS 1 AND 2 | 2006年

关键词：

Generalized K-Distributed clutter model; parameters estimation;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, a novel parameter estimation algorithm is provided for Generalized K-Distributed clutter model based on the parameter decoupling technology. This estimation algorithm converts a 4-D nonlinear optimization problem into a 1-D optimization problem, which can not only improve the estimation performance, but also reduce the calculation burden and the number of necessary clutter samples. Finally, the simulation experiment is carried out to prove the validity and veracity of the algorithm proposed in this paper..

引用

页码：90 / +

页数：2

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