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

Vahidpour, V, Rastegarnia, A, Latifi, M, Khalili, A and Sanei, S ORCID logoORCID: 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

[thumbnail of 14561_Sanei.pdf]
Preview
Text
14561_Sanei.pdf - Post-print

Download (821kB) | Preview

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

Actions (login required)

Edit View Edit View

Statistics

Views

Views per month over past year

Downloads

Downloads per month over past year