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THE IMPROVED IMM TRACKING ALGORITHM FOR HIGH-SPEED MANEUVERING TARGET
Bi X(毕欣); Wang W(王伟); Gao J(高洁); Du JS(杜劲松)
Department智能检测与装备研究室
Conference NameIET International Radar Conference 2015
Conference DateOctober 14-16, 2015
Conference PlaceHangzhou, China
Source PublicationIET International Radar Conference 2015
PublisherIET
Publication PlaceStevenage, UK
2015
Pages1-3
Indexed ByEI
EI Accession number20162402497679
Contribution Rank1
KeywordHigh-speed Maneuvering Target Interacting Multi-model (Imm) Markov Chain Kalman Filtering
AbstractThis paper proposes an improved interacting multi-model (IMM) tracking algorithm based on the adaptive Markov transition probability matrix, which can be utilized in ra-dar systems for high-speed maneuvering target tracking. The Markov transition probability matrix can be adaptive adjusted according to different characteristics of target motion state and the Markov transition probability matrix can be dynamically regulated between different models. The Monte Carlo simulation is carried out by software, which shows that the tracking performance of the algo-rithm is superior to the traditional method of IMM.
Language英语
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/17363
Collection智能检测与装备研究室
Affiliation1.Shenyang Institute of Automation, Chinese Academy of Science, China
2.Key Laboratory on Radar System Research and Application Technology of Liaoning Province, China
3.University of Chinese Academy of Sciences, Beijing, China
Recommended Citation
GB/T 7714
Bi X,Wang W,Gao J,et al. THE IMPROVED IMM TRACKING ALGORITHM FOR HIGH-SPEED MANEUVERING TARGET[C]. Stevenage, UK:IET,2015:1-3.
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