Communication reduction algorithm based on diffusion maximum correntropy criterion in the presence of impulse noise

Wei Li; Tingzhi Qiu; Guangyuan Zhang; Yingxiang Lu

doi:10.1117/12.3012112

21 December 2023 Communication reduction algorithm based on diffusion maximum correntropy criterion in the presence of impulse noise

Wei Li, Tingzhi Qiu, Guangyuan Zhang, Yingxiang Lu

Author Affiliations +

Proceedings Volume 12970, Fourth International Conference on Signal Processing and Computer Science (SPCS 2023); 1297012 (2023) https://doi.org/10.1117/12.3012112
Event: Fourth International Conference on Signal Processing and Computer Science (SPCS 2023), 2023, Guilin, China

Abstract

Diffusion strategies play a crucial role in distributed estimation, and with technological advancements, many effective diffusion algorithms resistant to impulsive noise have been proposed, with Diffusion maximum correntropy criterion being one of them. On the other hand, diffusion strategies require each node to share information with neighboring nodes, which introduces a certain communication overhead. To reduce communication costs, this paper leverages the interference caused by impulsive noise to design two communication mechanisms, where nodes execute corresponding communication strategies based on their individual states. Experimental results demonstrate that this algorithm effectively reduces communication overhead while maintaining performance as much as possible.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Wei Li, Tingzhi Qiu, Guangyuan Zhang, and Yingxiang Lu "Communication reduction algorithm based on diffusion maximum correntropy criterion in the presence of impulse noise", Proc. SPIE 12970, Fourth International Conference on Signal Processing and Computer Science (SPCS 2023), 1297012 (21 December 2023); https://doi.org/10.1117/12.3012112

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