Distributed Affine Projection Algorithm Over Acoustically Coupled Sensor Networks

• Published in: IEEE transactions on signal processing 2017-12, Vol.65 (24), p.6423-6434
• Main Authors: Ferrer, Miguel, Gonzalez, Alberto, de Diego, Maria, Pinero, Gema
• Format: Article
• Language: English
• Subjects: Acoustic coupling; Acoustic noise; Acoustic sensor networks; Acoustics; Active noise control; Adaptive algorithms; Adaptive control; Adaptive systems; affine projection algorithm; Algorithms; Computer simulation; distributed adaptive filters; Distributed algorithms; Microphones; Microprocessors; Network topology; Noise control; Sensors; Signal processing algorithms; Topology
• ISSN: 1053-587X; 1941-0476
• DOI: 10.1109/TSP.2017.2742987

In this paper, we present a distributed affine projection (AP) algorithm for an acoustic sensor network where the nodes are acoustically coupled. Every acoustic node is composed of a microphone, a processor, and an actuator to control the sound field. This type of networks can use distributed adaptive algorithms to deal with the active noise control (ANC) problem in a cooperative manner, providing more flexible and scalable ANC systems. In this regard, we introduce here a distributed version of the multichannel filtered-x AP algorithm over an acoustic sensor network that it is called distributed filtered-x AP (DFxAP) algorithm. The analysis of the mean and the mean-square deviation performance of the algorithm at each node is given for a network with a ring topology and without constraints in the communication layer. The theoretical results are validated through several simulations. Moreover, simulations show that the proposed DFxAP outperforms the previously reported distributed multiple error filtered-x least mean square algorithm.