A Generalized Labeled Multi-Bernoulli Filter for Maneuvering Targets

2016/03/15 by Yuthika Punchihewa, Ba‐Ngu Vo, Punchihewa, Yuthika +3
Computer Science · #FOS: Computer and information sciences #FOS: Electrical engineering #Methodology (stat.ME) #Systems and Control (eess.SY) #Target Tracking and Data Fusion in Sensor Networks #electronic engineering #information engineering

paper · pdf · doi:10.48550/arxiv.1603.04565

openalex publication_date 2016/03/15 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

A multiple maneuvering target system can be viewed as a Jump Markov System (JMS) in the sense that the target movement can be modeled using different motion models where the transition between the motion models by a particular target follows a Markov chain probability rule. This paper describes a Generalized Labelled Multi-Bernoulli (GLMB) filter for tracking maneuvering targets whose movement can be modeled via such a JMS. The proposed filter is validated with two linear and nonlinear maneuvering target tracking examples.

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