JZUS - Journal of Zhejiang University SCIENCE

Frontiers of Information Technology & Electronic Engineering

Accepted manuscript available online (unedited version)

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

@article{title="An efficient multi-Bernoulli filter for tracking multiple maritime dim targets",
author="Liwei SHI, Yunfei GUO, Wenxiong CUI, Yanbo XUE, Yun CHEN",
journal="Frontiers of Information Technology & Electronic Engineering",
year="in press",
publisher="Zhejiang University Press & Springer",
doi="https://doi.org/10.1631/FITEE.2400449"
}

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%T An efficient multi-Bernoulli filter for tracking multiple maritime dim targets
%A Liwei SHI
%A Yunfei GUO
%A Wenxiong CUI
%A Yanbo XUE
%A Yun CHEN
%J Frontiers of Information Technology & Electronic Engineering
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%@ 2095-9184
%D in press
%I Zhejiang University Press & Springer
doi="https://doi.org/10.1631/FITEE.2400449"

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T1 - An efficient multi-Bernoulli filter for tracking multiple maritime dim targets
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A1 - Yunfei GUO
A1 - Wenxiong CUI
A1 - Yanbo XUE
A1 - Yun CHEN
J0 - Frontiers of Information Technology & Electronic Engineering
SP -
EP -
%@ 2095-9184
Y1 - in press
PB - Zhejiang University Press & Springer
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doi="https://doi.org/10.1631/FITEE.2400449"

Abstract
Chinese Summary
Academic Network
Reviewer Comment

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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