中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Tracking an Underwater Maneuvering Target Using an Adaptive Kalman Filter

文献类型:会议论文

作者Li W(李为); Li YP(李一平); Ren SZ(任申真); Feng XS(封锡盛)
出版日期2013
会议名称2013 IEEE TENCON
会议日期October 22-25, 2013
会议地点Xi'an, China
关键词underwater target maneuver tracking adaptive Kalman filter active sonar
页码1-4
中文摘要To improve the tracking accuracy of an underwater maneuvering target, according to its characteristics of low speed and weak maneuvering performance, an adaptive Kalman filter is given based on the online estimation of the process noise variance. As the main filter analyzes the target motion, the process noise variance of the main filter is estimated by an auxiliary filter for being adaptively adjusted according to the target maneuvering intensity to improve the target tracking accuracy for uniform motions, as well as improving response speed of the filter for maneuvering behavior of the target. Simulation results show that the proposed algorithm performs well, which, to a certain extent, effectively improves the tracking accuracy of an underwater maneuvering target.
收录类别EI ; CPCI(ISTP)
产权排序1
会议录2013 IEEE TENCON
会议录出版者IEEE
会议录出版地NEW YORK
语种英语
WOS记录号WOS:000334921600049
源URL[http://ir.sia.cn/handle/173321/13859]  
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
Li W,Li YP,Ren SZ,et al. Tracking an Underwater Maneuvering Target Using an Adaptive Kalman Filter[C]. 见:2013 IEEE TENCON. Xi'an, China. October 22-25, 2013.

入库方式: OAI收割

来源:沈阳自动化研究所

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