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On-line Access: 2024-08-27

Received: 2023-10-17

Revision Accepted: 2024-05-08

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Citations:  Bibtex RefMan EndNote GB/T7714

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Frontiers of Information Technology & Electronic Engineering 

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An efficient multi-Bernoulli filter for tracking multiple maritime dim targets


Author(s):  Liwei SHI, Yunfei GUO, Wenxiong CUI, Yanbo XUE, Yun CHEN

Affiliation(s):  School of Automation, Hangzhou Dianzi University, Hangzhou 310018, China

Corresponding email(s):  gyf@hdu.edu.cn

Key Words:  Maritime dim targets; Track-before-detect; Multi-Bernoulli


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Liwei SHI, Yunfei GUO, Wenxiong CUI, Yanbo XUE, Yun CHEN. An efficient multi-Bernoulli filter for tracking multiple maritime dim targets[J]. Frontiers of Information Technology & Electronic Engineering,in press.https://doi.org/10.1631/FITEE.2400449

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author="Liwei SHI, Yunfei GUO, Wenxiong CUI, Yanbo XUE, Yun CHEN",
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year="in press",
publisher="Zhejiang University Press & Springer",
doi="https://doi.org/10.1631/FITEE.2400449"
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%A Yanbo XUE
%A Yun CHEN
%J Frontiers of Information Technology & Electronic Engineering
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Abstract: 
For the problem of tracking maritime dim targets, the sequential Monte Carlo multi-Bernoulli trackbefore-detect (SMC-MB-TBD) method is popular. However, this method may face low tracking accuracy and tracking loss due to particle impoverishment and velocity uncertainty. In this study, a novel filter called position scaling and velocity correction-multi-Bernoulli (PSVC-MB), is proposed to solve this problem. First, particle position scaling is used to replace the resampling in the SMC-MB-TBD method to solve the lack of particle diversity. Second, when the target is stably tracked, the target velocity is extracted from the multi-frame information and used for re-estimation. Pseudo point measurements are calculated from the weighted average of all locations near the particle position and the particle velocity will be continuously corrected with the pseudo point measurement. The simulation results verify the effectiveness of the proposed method in different low signal-to-clutter ratios (SCRs).

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