Information Geometry for Radar Target Detection with Total Jensen–Bregman Divergence

Information Geometry for Radar Target Detection with Total Jensen–Bregman Divergence

This paper proposes a radar target detection algorithm based on information geometry. In particular, the correlation of sample data is modeled as a Hermitian positive-definite (HPD) matrix. Moreover, a class of total Jensen–Bregman divergences, including the total Jensen square loss, the total Jense...

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Bibliographic Details
Main Authors: Xiaoqiang Hua, Haiyan Fan, Yongqiang Cheng, Hongqiang Wang, Yuliang Qin
Format: Article
Language:English
Published: MDPI AG 2018-04-01
Series:Entropy
Subjects:
information geometry
Hemitian positive-definite matrix
total Jensen–Bregman divergence
median matrix
radar target detection
Online Access:http://www.mdpi.com/1099-4300/20/4/256

Internet

http://www.mdpi.com/1099-4300/20/4/256

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