Heterogeneous Gaussian and Student's t Fusion for Distributed Target Tracking

Haowen Qin, Tiancheng Li, Hongfei Li, Guchong Li

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

In this paper, the heterogeneous fusion of the Kalman and Student's t filters is considered in the context of distributed filter fusion for target tracking. This problem is involved in a multi-sensor tracking scenario where each sensor runs either a Kalman or Student's t filter and they cooperate with each other via fusing the posterior density in a peer-to-peer fashion. This type of heterogeneous fusion has never been investigated before without closed-form solution. What is more, these sensors/filters are inherently correlated with each other to an unknown degree which raises a significant challenge for robust fusion. To address these challenges, both the arithmetic and geometric average fusion approaches are extended based on the appreciated moment matching strategies, in order to maintain the Gaussian or Student's t distribution of the local posterior. The effectiveness and robustness of the proposed methods are verified through simulations which have demonstrated the superiority of arithmetic average fusion method over covariance intersection fusion and augmented measurement fusion.

源语言英语
主期刊名Proceedings - 2024 IEEE Smart World Congress, SWC 2024 - 2024 IEEE Ubiquitous Intelligence and Computing, Autonomous and Trusted Computing, Digital Twin, Metaverse, Privacy Computing and Data Security, Scalable Computing and Communications
出版商Institute of Electrical and Electronics Engineers Inc.
1878-1885
页数8
ISBN(电子版)9798331520861
DOI
出版状态已出版 - 2024
活动10th IEEE Smart World Congress, SWC 2024 - Nadi, 斐济
期限: 2 12月 20247 12月 2024

出版系列

姓名Proceedings - 2024 IEEE Smart World Congress, SWC 2024 - 2024 IEEE Ubiquitous Intelligence and Computing, Autonomous and Trusted Computing, Digital Twin, Metaverse, Privacy Computing and Data Security, Scalable Computing and Communications

会议

会议10th IEEE Smart World Congress, SWC 2024
国家/地区斐济
Nadi
时期2/12/247/12/24

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