@inproceedings{bed61d4ad2ab45d888271801fb7089dd,
title = "Particle filter adaptation for distributed sensors via set membership",
abstract = "A distributed set-membership-constrained particle filter (SMC-PF) is developed for decentralized tracking applications using wireless sensor networks. Unlike existing PF alternatives, SMC-PF offers reduced overhead for inter-sensor communications because it requires only particle weights to be exchanged among sensors, instead of raw measurements or parameters of a Gaussian mixture model. SMC-PF relies on a novel distributed adaptation scheme based on successive set intersections that can afford reduced number of particles without sacrificing performance. Conditions are provided to quantify the variance reduction of the SMC-PF-based state estimator. Simulations corroborate the ability of the SMC-PF to considerably outperform the bootstrap PF for a fixed number of particles.",
keywords = "Adaptation, Distributed, Particle filtering, Set-membership",
author = "Shahrokh Farahmand and Roumeliotis, {Stergios I.} and Giannakis, {Georgios B.}",
year = "2010",
doi = "10.1109/ICASSP.2010.5496001",
language = "English (US)",
isbn = "9781424442966",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "3374--3377",
booktitle = "2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 - Proceedings",
note = "2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 ; Conference date: 14-03-2010 Through 19-03-2010",
}