Event-Triggered Consensus LMB Filter for Distributed Multitarget Tracking

被引：7

作者：

Li, Gaiyou ^{[1
]}

Battistelli, Giorgio ^{[2
]}

Chisci, Luigi ^{[2
]}

Gao, Lin ^{[1
]}

Wei, Ping ^{[1
]}

机构：

[1] Univ Elect Sci & Technol China, Sch Informat & Commun Engn, Chengdu 611731, Peoples R China

[2] Univ Firenze, Dipartimento Ingn Informaz DINFO, I-50139 Florence, Italy

来源：

IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS | 2023年 / 59卷 / 01期

基金：

中国国家自然科学基金;

关键词：

Information filters; Peer-to-peer computing; Radio frequency; Energy consumption; Bandwidth; Filtering algorithms; Density measurement; Distributed multitarget tracking; event-triggered; generalized covariance intersection; labeled Bernoulli densities; random finite set (RFS); STATE ESTIMATION; COMMUNICATION;

D O I：

10.1109/TAES.2022.3187390

中图分类号：

V [航空、航天];

学科分类号：

08 ; 0825 ;

摘要：

This correspondence investigates the problem of reducing energy and bandwidth consumption of a sensor network for distributed multitarget tracking by the labeled multi-Bernoulli filter. To this end, an event-triggered method is adopted together with a consensus strategy for each sensor node to transmit only Bernoulli components (BCs) that achieve enough information gain. Two message transmission strategies, i.e., joint and independent transmission, are devised. The possibility to separately trigger BCs allows the proposed method to better tradeoff tracking performance versus communication load with respect to existing distributed multitarget tracking approaches.

引用

页码：712 / 719

页数：8

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