{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,17]],"date-time":"2026-01-17T20:12:54Z","timestamp":1768680774857,"version":"3.49.0"},"reference-count":33,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2018,4,6]],"date-time":"2018-04-06T00:00:00Z","timestamp":1522972800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Entropy"],"abstract":"<jats:p>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\u2013Bregman divergences, including the total Jensen square loss, the total Jensen log-determinant divergence, and the total Jensen von Neumann divergence, are proposed to be used as the distance-like function on the space of HPD matrices. On basis of these divergences, definitions of their corresponding median matrices are given. Finally, a decision rule of target detection is made by comparing the total Jensen-Bregman divergence between the median of reference cells and the matrix of cell under test with a given threshold. The performance analysis on both simulated and real radar data confirm the superiority of the proposed detection method over its conventional counterparts and existing ones.<\/jats:p>","DOI":"10.3390\/e20040256","type":"journal-article","created":{"date-parts":[[2018,4,10]],"date-time":"2018-04-10T13:06:08Z","timestamp":1523365568000},"page":"256","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":22,"title":["Information Geometry for Radar Target Detection with Total Jensen\u2013Bregman Divergence"],"prefix":"10.3390","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7687-7720","authenticated-orcid":false,"given":"Xiaoqiang","family":"Hua","sequence":"first","affiliation":[{"name":"School of Electronic Science, National University of Defence Technology, Changsha 410073, China"}]},{"given":"Haiyan","family":"Fan","sequence":"additional","affiliation":[{"name":"Space Engineering University, Beijing 101400, China"}]},{"given":"Yongqiang","family":"Cheng","sequence":"additional","affiliation":[{"name":"School of Electronic Science, National University of Defence Technology, Changsha 410073, China"}]},{"given":"Hongqiang","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Electronic Science, National University of Defence Technology, Changsha 410073, China"}]},{"given":"Yuliang","family":"Qin","sequence":"additional","affiliation":[{"name":"School of Electronic Science, National University of Defence Technology, Changsha 410073, China"}]}],"member":"1968","published-online":{"date-parts":[[2018,4,6]]},"reference":[{"key":"ref_1","unstructured":"Richards, M. 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