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

Vahidpour, V., Rastegarnia, A., Latifi, M., Khalili, A. and Sanei, S. ORCID: 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:
NumberType
10.1109/taes.2019.2933961DOI
Divisions: Schools > School of Science and Technology
Depositing User: Jill Tomkinson
Date Added: 20 Aug 2019 12:40
Last Modified: 20 Aug 2019 12:40
URI: http://irep.ntu.ac.uk/id/eprint/37376

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