Print Email Facebook Twitter Distributed Particle Filter Based on Particle Exchanges Title Distributed Particle Filter Based on Particle Exchanges Author Tang, Rui (Student TU Delft) Riemens, E.H.J. (TU Delft Signal Processing Systems) Rajan, R.T. (TU Delft Signal Processing Systems) Date 2023 Abstract Multi-agent networks are known for their scalability, robustness, flexibility, and are typically tasked with a variety of tasks such as target tracking, surveillance, traffic control, and environmental monitoring. Distributed Particle Filters (DPF) are often employed when the for non-linear parameter estimation with non-Gaussian noise. In this paper, we propose a novel distributed particle filter whose transmitted quantities are particles. The fusion process of particles is implemented in a distributed and iterative fashion. To reduce the communication overhead, we adopt the Gaussian process-enhanced resampling algorithm, which reduces the size of local particle set, while still ensures acceptable filtering performance. To determine the local particle set after the communication, we propose two solutions. Our first algorithm (GP-DPF) adopts a “scoring mechanism”, allowing local agents score the received particles and using the scores as the selection criterion. Our second proposed solution (FA-DPF) is a meta-heuristic approach, which uses the well known firefly algorithm as a selection method for particle-based distributed particle filtering. Our simulations demonstrate the superiority of our proposed algorithms under the condition of limited communication and computational resources against other state-of-the-art distributed particle filters. To reference this document use: http://resolver.tudelft.nl/uuid:2ccf6a1b-2b53-4e99-b863-999c2173ff5c DOI https://doi.org/10.1109/AERO55745.2023.10115781 Publisher IEEE Embargo date 2023-11-15 ISBN 978-1-6654-9033-7 Source Proceedings of the 2023 IEEE Aerospace Conference Event 2023 IEEE Aerospace Conference, 2023-03-04 → 2023-03-11, Big Sky, United States Series IEEE Aerospace Conference Proceedings, 1095-323X, 2023-March 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. Part of collection Institutional Repository Document type conference paper Rights © 2023 Rui Tang, E.H.J. Riemens, R.T. Rajan Files PDF Distributed_Particle_Filt ... hanges.pdf 1.45 MB Close viewer /islandora/object/uuid:2ccf6a1b-2b53-4e99-b863-999c2173ff5c/datastream/OBJ/view