MEFPDA-SCKF for underwater single observer bearings-only target tracking in clutter

CORC > 沈阳自动化研究所 > 中国科学院沈阳自动化研究所 > 水下机器人研究室

	MEFPDA-SCKF for underwater single observer bearings-only target tracking in clutter
	Mei DF(梅登峰); Liu KZ(刘开周); Wang YY(王艳艳)
	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
内容类型	会议论文
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.