Distributed correntropy Kalman filtering over sensor networks with FlexRay-based protocols

Weiwei Wang, Xiu Kan, Derui Ding, Hongjian Liu and Xiuyu Gao

International Journal of Systems Science, 2025, vol. 56, issue 6, 1347-1359

Abstract: This paper focuses on distributed correntropy filtering for discrete-time stochastic systems subject to non-Gaussian noises over a sensor network. A novel filtering algorithm derived from the Gaussian maximum correntropy criterion is developed to handle non-Gaussian noises and possibly occurred outliers. Furthermore, the FlexRay mechanism consisting of both Round-Robin protocol and try-once-discard protocol is convened to realise high-efficient schedule of communication resources. And scalar filter gains are derived by using fixed-point iterative update rules, resulting in enhanced performance against non-Gaussian noises. A distributed approach to determine an optimal weight matrix is developed by using the upper bounds of the filtering error covariance, balancing the trade-off between estimated states and measurements at different scales. Finally, the efficacy of the developed filtering algorithm are validated through numerical simulations, demonstrating its significant advantage in real-world engineering applications.

Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/00207721.2024.2423033 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:tsysxx:v:56:y:2025:i:6:p:1347-1359

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/TSYS20

DOI: 10.1080/00207721.2024.2423033

Access Statistics for this article

International Journal of Systems Science is currently edited by Visakan Kadirkamanathan

More articles in International Journal of Systems Science from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().