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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