Approximately Optimal Radar Resource Management for Multi-Sensor Multi-Target Tracking

Bas van der Werk, Max Ian Schöpe, Hans Driessen

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

Abstract

Radar Resource Management in a multi-sensor multi-target scenario is considered. A dynamic resource balancing algorithm is proposed which optimizes target task parameters assuming an underlying partially observable Markov decision process (POMDP). By applying stochastic optimization methods, such as policy rollout, the POMDP is solved non-myopically. The approximately optimal approach is formulated assuming a central processor. Subsequently, a distributed implementation is introduced that converges to the same results as given by the centralized implementation and requires less computational resources. The performance of the proposed approach for both centralized and distributed implementation is demonstrated through dynamic tracking scenarios.
Original languageEnglish
Title of host publication2021 IEEE 24th International Conference on Information Fusion (FUSION)
Subtitle of host publicationProceedings
PublisherIEEE
Pages1-8
Number of pages8
ISBN (Electronic)978-1-7377497-1-4
ISBN (Print)978-1-6654-1427-2
Publication statusPublished - 2021
Event2021 IEEE 24th International Conference on Information Fusion (FUSION) - Hybrid at Sun City, South Africa
Duration: 1 Nov 20214 Nov 2021
Conference number: 24th

Conference

Conference2021 IEEE 24th International Conference on Information Fusion (FUSION)
Abbreviated titleFusion 2021
CountrySouth Africa
CityHybrid at Sun City
Period1/11/214/11/21

Bibliographical note

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care

Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

  • Radar Resource Management
  • Distributed Sensor Network
  • Constrained Optimization
  • POMDP

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