A unified spatiotemporal-geometry framework for target classification and localisation in dual-static passive radar.

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Bibliographic Details
Title: A unified spatiotemporal-geometry framework for target classification and localisation in dual-static passive radar.
Authors: Wang H; School of Mechatronic Engineering and Engineering Training Center, Xi'an Technological University, Xi'an, Shaanxim, China.; Engineering Training Center, Xi'an Technological University, Xi'an, Shaanxi, China., Lei Z; School of Electronic and Information Engineering, Xi'an Technological University, Xi'An, Shaanxi, China., Liu X; School of Electronic and Information Engineering, Xi'an Technological University, Xi'An, Shaanxi, China.
Source: PloS one [PLoS One] 2026 Jun 02; Vol. 21 (6), pp. e0350515. Date of Electronic Publication: 2026 Jun 02 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1932-6203
DOI:10.1371/journal.pone.0350515