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 |
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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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