DocumentCode :
2290361
Title :
Robust Estimation of Scattering Center Parameters in Long-Tailed K-Distribution Clutter
Author :
Zhiguang, Shi ; Jianxiong, Zhou ; Hongzhong, Zhao ; Qiang, Fu
Author_Institution :
ATR Lab., Nat. Univ. of Defence Technol., Hunan
fYear :
2006
fDate :
16-19 Oct. 2006
Firstpage :
1
Lastpage :
4
Abstract :
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
Keywords :
iterative methods; parameter estimation; radar clutter; search problems; DE-model; K-distribution radar clutter; M-estimation method; Nelder-Mead simplex search algorithm; damped exponential scattering; iterative ESPRIT method; scattering center parameter estimation; Additive noise; Clutter; Gaussian noise; Least squares approximation; Optical scattering; Parameter estimation; Radar scattering; Robustness; Scattering parameters; Testing; M-estimation; damped exponential model; long-tailed distribution; scattering centers;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radar, 2006. CIE '06. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
0-7803-9582-4
Electronic_ISBN :
0-7803-9583-2
Type :
conf
DOI :
10.1109/ICR.2006.343133
Filename :
4148258
Link To Document :
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