Robust estimation of scattering center parameters in long-tailed K-distribution clutter

被引：0

作者：

Shi zhiguang ^{[1
]}

Zhou jianxiong ^{[1
]}

Zhao hongzhong ^{[1
]}

Fu qiang ^{[1
]}

机构：

[1] Nat Univ Def Technol, ATR Lab, Changsha 410073, Hunan, Peoples R China

来源：

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

关键词：

long-tailed distribution; damped exponential model; M-estimation; scattering centers;

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：

The M-estimation method is used to obtain robust estimation of DE (Damped exponential) scattering center parameters in long-tailed clutter. Firstly, the shortcoming of Prony-based M-estimation method is analyzed. Then, two effective methods realizing M-estimation of DE-model are proposed, one is based on the Nelder Mead simplex search algorithm, the other is based on the iterative ESPRIT method. Lastly, Monte-Carlo simulation test is performed to validate the effectiveness of the proposed methods. The results show that both methods perform better than the Prony-based method or non-robust estimation approaches in long-tailed K-Distribution clutter.

引用

页码：1671 / +

页数：2

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