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
收藏
页码：1671 / +
页数：2
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