Robust Distributed Diffusion Recursive Least Squares Algorithms With Side Information for Adaptive Networks

This work develops robust diffusion recursive least-squares algorithms to mitigate the performance degradation often experienced in networks of agents in the presence of impulsive noise. The first algorithm minimizes an exponentially weighted least-squares cost function subject to a time-dependent c...

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Bibliographic Details
Published in:	IEEE transactions on signal processing Vol. 67; no. 6; pp. 1566 - 1581
Main Authors:	Yu, Yi, Zhao, Haiquan, de Lamare, Rodrigo C., Zakharov, Yuriy, Lu, Lu
Format:	Journal Article
Language:	English
Published:	New York IEEE 15.03.2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Adaptive algorithms Algorithms Atmospheric measurements Complexity theory Computer simulation Convergence dichotomous coordinate-descent diffusion cooperation Distributed algorithms Estimation impulsive noises Least squares Performance degradation recursive least squares algorithms Regression analysis Robustness Signal processing algorithms Symmetric matrices Time dependence
ISSN:	1053-587X, 1941-0476
Online Access:	Get full text
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