Performance analysis of distributed Kalman filtering with partial diffusion over noisy network

Vahidpour, V, Rastegarnia, A, Latifi, M, Khalili, A and Sanei, S ORCID: https://orcid.org/0000-0002-3437-2801, 2019. Performance analysis of distributed Kalman filtering with partial diffusion over noisy network. IEEE Transactions on Aerospace and Electronic Systems. ISSN 0018-9251

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Abstract

The performance of partial diffusion Kalman filtering (PDKF) algorithm for the networks with noisy links is studied here. A closed-form expression for the steady-state mean square deviation is then derived and theoretically shown that when the links are noisy, the communication-performance tradeoff, reported for the PDKF algorithm, does not hold. Additionally, optimal selection of combination weights is investigated and a combination rule along with an adaptive implementation is motivated. The results confirm the theoretical outcome.

Item Type:	Journal article
Publication Title:	IEEE Transactions on Aerospace and Electronic Systems
Creators:	Vahidpour, V., Rastegarnia, A., Latifi, M., Khalili, A. and Sanei, S.
Publisher:	IEEE (Institute of Electrical and Electronics Engineers)
Date:	15 August 2019
ISSN:	0018-9251
Identifiers:	Number Type 10.1109/taes.2019.2933961 DOI
Divisions:	Schools > School of Science and Technology
Record created by:	Jill Tomkinson
Date Added:	20 Aug 2019 12:40
Last Modified:	20 Aug 2019 12:40
URI:	https://irep.ntu.ac.uk/id/eprint/37376

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