Art

J-GLOBAL ID：201702256298773151   Reference number：17A0107334

An Improved Multitarget Track-Before-Detect Algorithm Based on Probability Hypothesis Density Filter

PHDに基づくマルチターゲット検出前追跡の改良方法を提案した。【JST・京大機械翻訳】

Author (4)： Liu Chao (Department of Electronic and Information Engineering,Naval Aeronautical and Astronautical University) ,  Guan Jian (Department of Electronic and Information Engineering,Naval Aeronautical and Astronautical University) ,  Huang Yong (Department of Electronic and Information Engineering,Naval Aeronautical and Astronautical University) ,  Wang Guoqing (Research Institute of Information Fusion,Naval Aeronautical and Astronautical University)
Material： Leida Kexue Yujishu
Volume： 14  Issue： 1  Page： 1-6  Publication year： 2016 
JST Material Number： C3131A  ISSN： 1672-2337  Document type： Article
Article type： 原著論文  Country of issue： China (CHN)  Language： CHINESE (ZH)

Abstract/Point： The particle probability hypot...

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Thesaurus term： nonlinear filter ,  simulation ,  state estimation ,  *filter ,  computational complexity ,  linearity
Semi thesaurus term： 状態空間 ,  粒子フィルタ , 【Automatic Indexing@JST】

Author keywords (5)： Rao-Blackwellised particle filter ,  probability hypothesis density filter ,  multitarget track-before- detect ,  linear states ,  nonlinear states

JST classification (2)： General  (NC04021I) ,  Electronic navigation in general  (ND14010O)

Terms in the title (5)： マルチ ,  ターゲット検出 ,  追跡 ,  改良方法 ,  提案