Robust Estimation of Scattering Center Parameters in Long-Tailed K-Distribution Clutter

Shi Zhi-guang; Zhou Jian-xiong; Zhao Hong-zhong; Fu Qiang

doi:10.3724/SP.J.1146.2006.00516

Volume 29 Issue 12

Jan. 2011

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Article Navigation > Journal of Electronics & Information Technology > 2007 > 29(12): 2848-2852

Shi Zhi-guang, Zhou Jian-xiong, Zhao Hong-zhong, Fu Qiang. Robust Estimation of Scattering Center Parameters in Long-Tailed K-Distribution Clutter[J]. Journal of Electronics & Information Technology, 2007, 29(12): 2848-2852. doi: 10.3724/SP.J.1146.2006.00516

Citation:

Shi Zhi-guang, Zhou Jian-xiong, Zhao Hong-zhong, Fu Qiang. Robust Estimation of Scattering Center Parameters in Long-Tailed K-Distribution Clutter[J]. Journal of Electronics & Information Technology, 2007, 29(12): 2848-2852. doi: 10.3724/SP.J.1146.2006.00516

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Robust Estimation of Scattering Center Parameters in Long-Tailed K-Distribution Clutter

doi: 10.3724/SP.J.1146.2006.00516

Received Date: 2006-04-20
Rev Recd Date: 2006-09-27
Publish Date: 2007-12-19

Abstract

Abstract

When the parameter estimation of Damped Exponentials (DE) based scattering center model is considered in real life situation, the noise is always non-Gaussian and has long-tailed distribution. The estimation error in such noise may be large if the estimator under gauss-noise assumption is used. In this paper, the M-estimation method is used to obtain robust parameter estimation of DE-model in long-tailed clutter. Firstly, the shortcoming of Prony-based M-estimation method is analyzed. Then, other two effective methods to realize M-estimation of DE-model are proposed. A comparative study of these two methods is carried on about their estimation performance. Lastly, Monte-Carlo simulation test is performed to validate the proposed methods. The results show that the two proposed methods both give better estimation results in long-tailed K-Distribution clutter.

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References(1)

References

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