Diffusion Sign Subband Adaptive Filtering Algorithm with Enlarged Cooperation and Its Variant

• Published in: Circuits, systems, and signal processing Vol. 36; no. 4; pp. 1714 - 1724
• Main Authors: Shi, Juan, Ni, Jingen
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.04.2017
• Subjects: Adaptive filters; Algorithms; Circuits and Systems; Convergence; Cooperation; Diffusion; Electrical Engineering; Electronics and Microelectronics; Engineering; Expansion; Instrumentation; Interference; Robustness; Short Paper; Signal,Image and Speech Processing; Distributed estimation; Enlarged cooperation; Proportionate adaption; Sign algorithm
• ISSN: 0278-081X; 1531-5878
• DOI: 10.1007/s00034-016-0371-y

The recently proposed diffusion sign subband adaptive filtering (DSSAF) algorithm is more robust than most of mean-square error minimization criterion-based diffusion distributed estimation algorithms in an impulsive interference environment. To enhance its convergence rate and steady-state misalignment, this paper proposes a DSSAF algorithm with enlarged cooperation (DSSAF-EC). The DSSAF-EC algorithm exchanges not only the weight information but also measurements within individual neighborhoods. Moreover, a variant of the DSSAF-EC algorithm, called the proportionate DSSAF-EC (PDSSAF-EC) algorithm, is presented. It incorporates an adaptive gain matrix into the DSSAF-EC algorithm to proportionately adapt the weight vectors of agents. Simulation results verify that both the DSSAF-EC and PDSSAF-EC algorithms are robust against impulsive interference and that the PDSSAF-EC algorithm can obtain faster convergence rate than the DSSAF-EC algorithm in estimating a sparse unknown weight vector.