Information Geometry for Covariance Estimation in Heterogeneous Clutter with Total Bregman Divergence

This paper presents a covariance matrix estimation method based on information geometry in a heterogeneous clutter. In particular, the problem of covariance estimation is reformulated as the computation of geometric median for covariance matrices estimated by the secondary data set. A new class of t...

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Bibliographic Details
Main Authors: Xiaoqiang Hua, Yongqiang Cheng, Hongqiang Wang, Yuliang Qin
Format: Article
Language:English
Published: MDPI AG 2018-04-01
Series:Entropy
Subjects:
Online Access:http://www.mdpi.com/1099-4300/20/4/258