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Wireless Communications and Mobile Computing
Volume 2017 (2017), Article ID 3601802, 15 pages
Research Article

Control Effort Strategies for Acoustically Coupled Distributed Acoustic Nodes

Institute of Telecommunication and Multimedia Applications, Universitat Politecnica de Valencia, Camino de Vera s/n, 46022 Valencia, Spain

Correspondence should be addressed to Christian AntoƱanzas

Received 19 May 2017; Revised 9 September 2017; Accepted 31 October 2017; Published 5 December 2017

Academic Editor: Athanasios Mouchtaris

Copyright © 2017 Christian Antoñanzas et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


This paper considers the effect of effort constraints on the behavior of an active noise control (ANC) system over a distributed network composed of acoustic nodes. A distributed implementation can be desirable in order to provide more flexible, versatile, and scalable ANC systems. In this regard, the distributed version of the multiple error filtered-x least mean square (DMEFxLMS) algorithm that allows collaboration between nodes has shown excellent properties. However, practical constraints need to be considered since, in real scenarios, the acoustic nodes are equipped with power constrained actuators. If these constraints are not considered within the adaptive algorithm, the control signals may increase and saturate the hardware devices, causing system instability. To avoid this drawback, a control effort weighting can be considered in the cost function of the distributed algorithm at each node. Therefore, a control effort strategy over the output signals at each node is used to keep them under a given threshold and ensuring the distributed ANC system stability. Experimental results show that, assuming ideal network communications, the proposed distributed algorithm achieves the same performance as the leaky centralized ANC system. A performance evaluation of several versions of the leaky DMEFxLMS algorithm in realistic scenarios is also included.