GOSPA-Driven Gaussian Bernoulli Sensor Management

Jones, G, García-Fernández, ÁF and Wong, PWH ORCID: 0000-0001-7935-7245 (2023) GOSPA-Driven Gaussian Bernoulli Sensor Management In: 2023 26th International Conference on Information Fusion (FUSION), 2023-6-27 - 2023-6-30.

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Abstract

This paper presents a multi-target metric driven approach to sensor management for Bernoulli filtering, in which at most one target of interest is present. The metric used is the generalised optimal sub pattern assignment (GOSPA) metric. We consider the problem of having an agile sensor operating in a surveillance area, tracking objects as they appear from a target birth distribution. Only one target of interest can exist at any given time-step and its single-target density is Gaussian. In this scenario, we have a grid of sensors that we can select from, one at a time using myopic planning. We evaluate the proposed sensor management algorithm via simulations.

Item Type:	Conference Item (Unspecified)
Uncontrolled Keywords:	4605 Data Management and Data Science, 46 Information and Computing Sciences, 40 Engineering, 4001 Aerospace Engineering
Divisions:	Faculty of Science & Engineering Faculty of Science & Engineering > School of Electrical Engineering, Electronics and Computer Science
Depositing User:	Symplectic Admin
Date Deposited:	11 Feb 2025 08:22
Last Modified:	23 May 2026 07:54
DOI:	10.23919/FUSION52260.2023.10224220
Related Websites:	Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3190230
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