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电子与信息学报 2007
Robust Estimation of Scattering Center Parameters in Long-Tailed K-Distribution Clutter
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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.