@inproceedings{d57c01cf899545d5b4b450b83367138f,
title = "Stealth Maneuvering Multi-target Tracking with IMM-LMB Filter",
abstract = "Aiming at the tracking problem of stealth maneuvering multi-target, a labeled multi-Bernoulli (LMB) filter combined with interacting multiple models (IMM) approach is proposed, which is denoted by IMM-LMB filter. In the prediction step of IMM-LMB filter, the mixed prediction of multi-target state is executed. Then, the Gibbs sampling method is used to get the result of measurement partition. Finally, the posterior probability density of multi-target and the model probability are updated interactively by using the quasi-partition measurement subsets. Moreover, the Gaussian mixture implementation of IMM-LMB filter is given. Simulation results show that the proposed IMM-LMB filter is able to track stealth maneuvering multi-target stably. Compared with the LMB filter, the OSPA distance of the proposed filter is smaller and the cardinality estimation is more current.",
keywords = "Gibbs sampling, IMM, LMB filter, maneuvering target tracking, Stealth target tacking",
author = "Tao Jiang and Wei Sun and Beining Dai and Jinping Sun",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2021 ; Conference date: 23-10-2021 Through 25-10-2021",
year = "2021",
doi = "10.1109/CISP-BMEI53629.2021.9624459",
language = "英语",
series = "Proceedings - 2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Qingli Li and Lipo Wang and Yan Wang and Wenwu Li",
booktitle = "Proceedings - 2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2021",
address = "美国",
}