Diffusion Combinatoric Correntropy Algorithm for Distributed Estimation

Distributed estimation algorithms, when based on the mean-square error criterion, often encounter steady-state misalignment in scenarios where the adaptive network experiences impulsive noise. Addressing this challenge, this paper introduces the diffusion combinatoric correntropy algorithm, which em...

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Vydané v:Circuits, systems, and signal processing Ročník 44; číslo 2; s. 889 - 910
Hlavní autori: Wang, Shengwei, Xu, Yurong, Xu, Tianci, Yang, Kuojian
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York Springer US 01.02.2025
Springer Nature B.V
Predmet:
Adaptive algorithms
Algorithms
Circuits and Systems
Computer engineering
Cost function
Criteria
Diffusion rate
Electrical Engineering
Electronics and Microelectronics
Engineering
Instrumentation
Kurtosis
Misalignment
Performance evaluation
Researchers
Signal processing
Signal,Image and Speech Processing
Simulation
Steady state
Distributed estimation
System identification
MCC
Combinatoric correntropy
ISSN:0278-081X, 1531-5878
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Shrnutí:Distributed estimation algorithms, when based on the mean-square error criterion, often encounter steady-state misalignment in scenarios where the adaptive network experiences impulsive noise. Addressing this challenge, this paper introduces the diffusion combinatoric correntropy algorithm, which employs the combinatoric correntropy as its cost function. Leveraging the inherent robustness of the combinatoric correntropy cost function, this algorithm effectively mitigates the negative impacts caused by impulse noise. A comprehensive analysis, including experimental simulations, is conducted to evaluate the performance of the diffusion combinatoric maximum correntropy criterion algorithm. The simulation outcomes demonstrate that the proposed algorithm surpasses the diffusion maximum correntropy criterion algorithm in terms of convergence speed and steady-state performance. These simulation results align closely with the theoretical analysis, further validating the effectiveness of the diffusion combinatoric correntropy algorithm.
Bibliografia:ObjectType-Article-1
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content type line 14
ISSN:0278-081X
1531-5878
DOI:10.1007/s00034-024-02826-8