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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Detalles Bibliográficos
Autores principales: Hua, Xiaoqiang, Fan, Haiyan, Cheng, Yongqiang, Wang, Hongqiang, Qin, Yuliang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512771/
https://www.ncbi.nlm.nih.gov/pubmed/33265347
http://dx.doi.org/10.3390/e20040256

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512771/
https://www.ncbi.nlm.nih.gov/pubmed/33265347
http://dx.doi.org/10.3390/e20040256

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