Robust Minimum Disturbance Diffusion LMS for Distributed Estimation

• Published in: IEEE transactions on circuits and systems. II, Express briefs Vol. 68; no. 1; pp. 521 - 525
• Main Author: Zayyani, Hadi
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.01.2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adaptation; Algorithms; Circuits and systems; Coefficients; Cost function; Diffusion; diffusion LMS; Distributed estimation; Eigenvectors; Estimation; impulsive noise; Linear systems; Mathematical analysis; Mathematical model; Matrix methods; minimum disturbance; Noise measurement; robust; Robustness (mathematics); Signal processing algorithms; Upper bounds

This brief proposes a robust distributed estimation algorithm in presence of impulsive noise. Impulsive noises are present both in the measurements and in the communication links in a sensor network. The proposed method is essentially a diffusion LMS algorithm with optimized variable coefficients in...