Full Text:   <551>

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CLC number: TP391; TN953

On-line Access: 2021-01-11

Received: 2020-03-11

Revision Accepted: 2020-06-30

Crosschecked: 2020-09-11

Cited: 0

Clicked: 1292

Citations:  Bibtex RefMan EndNote GB/T7714

 ORCID:

Weihua Wu

https://orcid.org/0000-0002-8737-3525

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Frontiers of Information Technology & Electronic Engineering  2021 Vol.22 No.1 P.79-87

http://doi.org/10.1631/FITEE.2000105


Derivation of the multi-model generalized labeled multi-Bernoulli filter: a solution to multi-target hybrid systems


Author(s):  Weihua Wu, Yichao Cai, Hongbin Jin, Mao Zheng, Xun Feng, Zewen Guan

Affiliation(s):  Department of Early Warning Intelligence, Air Force Early Warning Academy, Wuhan 430019, China

Corresponding email(s):   weihuawu1987@163.com

Key Words:  Multi-maneuvering-target tracking, Multi-model, Generalized labeled multi-Bernoulli filter, Multi-target hybrid systems


Weihua Wu, Yichao Cai, Hongbin Jin, Mao Zheng, Xun Feng, Zewen Guan. Derivation of the multi-model generalized labeled multi-Bernoulli filter: a solution to multi-target hybrid systems[J]. Frontiers of Information Technology & Electronic Engineering, 2021, 22(1): 79-87.

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author="Weihua Wu, Yichao Cai, Hongbin Jin, Mao Zheng, Xun Feng, Zewen Guan",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="22",
number="1",
pages="79-87",
year="2021",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.2000105"
}

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%A Weihua Wu
%A Yichao Cai
%A Hongbin Jin
%A Mao Zheng
%A Xun Feng
%A Zewen Guan
%J Frontiers of Information Technology & Electronic Engineering
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%@ 2095-9184
%D 2021
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.2000105

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T1 - Derivation of the multi-model generalized labeled multi-Bernoulli filter: a solution to multi-target hybrid systems
A1 - Weihua Wu
A1 - Yichao Cai
A1 - Hongbin Jin
A1 - Mao Zheng
A1 - Xun Feng
A1 - Zewen Guan
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 22
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SP - 79
EP - 87
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PB - Zhejiang University Press & Springer
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DOI - 10.1631/FITEE.2000105


Abstract: 
In this study, we extend traditional (single-target) hybrid systems to multi-target hybrid systems with a focus on the multi-maneuvering-target tracking system. This system consists of a continuous state, a discrete and switchable state, and a discrete, time-constant, and unique state. By defining a new generalized labeled multi-Bernoulli density, we prove that it is closed under the Chapman-Kolmogorov prediction and Bayes update for multi-target hybrid systems. In other words, we provide the exact derivation of a solution to this system, i.e., the multi-model generalized labeled multi-Bernoulli filter, which has been developed without strict proof.

多模型广义标签多伯努利滤波器的推导:多目标混合系统解决方案


吴卫华,蔡益朝,金宏斌,郑茂,冯讯,关泽文
空军预警学院预警情报系,中国武汉市,430019

摘要:本文将传统(单目标)混合系统扩展到多目标混合系统,重点研究多机动目标跟踪系统。该系统由连续状态,离散可切换状态以及离散、时不变且唯一性状态组成。通过定义一个新的广义标签多伯努利密度,我们证明对于多目标混合系统,它在查普曼-柯尔莫哥洛夫(Chapman-Kolmogorov)预测和贝叶斯更新下是闭合的。换言之,我们严格推导了多目标混合系统的解决方案,即多模型广义标签多伯努利滤波器--该滤波器虽已被开发,但此前并未得到严格证明。

关键词:多机动目标跟踪;多模型;广义标签多伯努利滤波器;多目标混合系统

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

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