中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
MEFPDA-SCKF for underwater single observer bearings-only target tracking in clutter

文献类型:会议论文

作者Mei DF(梅登峰); Liu KZ(刘开周); Wang YY(王艳艳)
出版日期2013
会议名称OCEANS 2013 MTS/IEEE
会议日期September 23-26, 2013
会议地点San Diego. USA
关键词Bearings-only tracking square-root cubature Kalman filter (SCKF) probabilistic data association (PDA) maximum entropy fuzzy probabilistic data association (MEFPDA)
页码1-6
中文摘要The MEFPDA-SCKF algorithm, which is based on square-root cubature Kalman filter (SCKF) and maximum entropy fuzzy probabilistic data association (MEFPDA), is proposed for single observer bearings-only target tracking in cluttered underwater environment. SCKF is used to solve the nonlinear state estimation of bearings-only tracking. MEFPDA is used to reduce the interference of clutter and provide reliable bearings. Simulation and field experiment are conducted to verify the effectiveness of the proposed algorithm.
收录类别EI ; CPCI(ISTP)
产权排序1
会议录OCEANS 2013 MTS/IEEE
会议录出版者IEEE
会议录出版地NEW YORK
语种英语
ISBN号978-0-933957-40-4
WOS记录号WOS:000334165801041
源URL[http://ir.sia.cn/handle/173321/13855]  
专题沈阳自动化研究所_水下机器人研究室
推荐引用方式
GB/T 7714
Mei DF,Liu KZ,Wang YY. MEFPDA-SCKF for underwater single observer bearings-only target tracking in clutter[C]. 见:OCEANS 2013 MTS/IEEE. San Diego. USA. September 23-26, 2013.

入库方式: OAI收割

来源:沈阳自动化研究所

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