Estimation of Markov jump systems with mode observation one-step lagged to state measurement

Yan Liang, Zengfu Wang, Lili Wei, Yongmei Cheng, Quan Pan

科研成果: 书/报告/会议事项章节会议稿件同行评审

5 引用 (Scopus)

摘要

The estimation of Markov Jump systems (MJS) is widely used in target tracking, fault detection, signal processing and digital communications. However, the above researches all assume that state measurement and additional mode observation are synchronous which means both state measurement and mode observation at each sampling time arrive at the fusion centre at the same time. The problem of estimation of MJS that mode observation is one-step lagged to its corresponding state measurement is considered. Along state-augmentation approach and the derivation of image-enhanced interacting multiple model (IE-IMM), a new generic estimation algorithm is proposed. It is shown by simulation result that the proposed algorithm is effective.

源语言英语
主期刊名FUSION 2007 - 2007 10th International Conference on Information Fusion
DOI
出版状态已出版 - 2007
活动FUSION 2007 - 2007 10th International Conference on Information Fusion - Quebec, QC, 加拿大
期限: 9 7月 200712 7月 2007

出版系列

姓名FUSION 2007 - 2007 10th International Conference on Information Fusion

会议

会议FUSION 2007 - 2007 10th International Conference on Information Fusion
国家/地区加拿大
Quebec, QC
时期9/07/0712/07/07

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