Maximum likelihood identification of glint noise

Wen-Rong Wu*

*此作品的通信作者

研究成果: Article同行評審

21 引文 斯高帕斯(Scopus)

摘要

If the non-Gaussian distribution function of radar glint noise is known, the Masreliez filter can be applied to improve target tracking performance. We investigate the glint identification problem using the maximum likelihood (ML) method. Two models for the glint distribution are used, a mixture of two Gaussian distributions and a mixture of a Gaussian and a Laplacian distribution. An efficient initial estimate method based on the QQ-plot is also proposed. Simulations show that the ML estimates converge to truths.

原文English
文章編號481248
頁(從 - 到)41-51
頁數11
期刊IEEE Transactions on Aerospace and Electronic Systems
32
發行號1
DOIs
出版狀態Published - 1月 1996

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