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Diffusion Mixed-Node Recursive Least Square-based Algorithm over Adaptive Network

Author(s)
Sitjongsataporn, Suchada
Prongnuch, Sethakarn
Wiangtong, Theerayod
Date Issued
January 1, 2022
Type
Conference Paper
DOI
10.1109/iEECON53204.2022.9741678
Abstract
This paper proposes a diffusion framework related on the mixed-node constraint based on recursive least squares (RLS) algorithm with adaptive network. The proposed Combine-Then-Adapt and Adapt-Then-Combine diffusion algorithms based on RLS algorithm are derived shortly by minimising the mixed-node least square-based criterion for distributed estimation over the adaptive network. The mixed-node cost function is described and illustrated briefly. Experimental results depict that these proposed algorithms is able to achieve the fast convergence better than the conventional algorithms.
Citation
Proceedings of the 2022 International Electrical Engineering Congress Ieecon 2022, 2022
Subjects

Adaptive network

Diffusion strategy

Mixed-node criterion

Recursive Least Squar...

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