中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
The IMM tracking algorithm for maneuvering target with adaptive Markov transition probability matrix

文献类型:会议论文

作者Bi X(毕欣); Du JS(杜劲松); Gao J(高洁); Wang W(王伟); Gao Y(高扬)
出版日期2015
会议名称2015 IEEE 10th Conference on Industrial Electronics and Applications (ICIEA)
会议日期June 15-17, 2015
会议地点Auckland, New Zealand
关键词maneuvering target tracking Interacting multimodel (IMM) Markov chain Kalman filtering
页码1279-1282
中文摘要This paper proposes an interacting multi-model (IMM) tracking algorithm based on the adaptive Markov transition probability matrix, which can be utilized in radar systems for maneuvering target tracking. The algorithm constructs likelihood ratio function of motion model, and presents an adaptive Markov transition probabilities calculated thought. Base on “new information” structure model of motion of the likelihood function, tracking system can online adjustment model of the noise variance and the Markov matrix adaptively. The Monte Carlo simulation is carried out by software, which shows that the tracking performance of the algorithm is superior to the traditional method of IMM.
收录类别EI ; CPCI(ISTP)
产权排序1
会议录Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015
会议录出版者IEEE
会议录出版地Piscataway, NJ, USA
语种英语
ISBN号978-1-4673-7317-3
WOS记录号WOS:000377208900232
源URL[http://ir.sia.cn/handle/173321/17362]  
专题沈阳自动化研究所_智能检测与装备研究室
推荐引用方式
GB/T 7714
Bi X,Du JS,Gao J,et al. The IMM tracking algorithm for maneuvering target with adaptive Markov transition probability matrix[C]. 见:2015 IEEE 10th Conference on Industrial Electronics and Applications (ICIEA). Auckland, New Zealand. June 15-17, 2015.

入库方式: OAI收割

来源:沈阳自动化研究所

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