BLOCK-BASED DISTRIBUTED ADAPTIVE FILTER FOR ACTIVE NOISE CONTROL IN A COLLABORATIVE NETWORK

Autores UPV
Año
CONGRESO BLOCK-BASED DISTRIBUTED ADAPTIVE FILTER FOR ACTIVE NOISE CONTROL IN A COLLABORATIVE NETWORK

Abstract

This paper considers the implementation of an Active Noise Control (ANC) system over a network of distributed acoustic nodes. Single-channel nodes composed of one microphone, one loudspeaker, and a processor with communication capabilities have been considered. An equivalent solution to the Multiple Error Filtered-x Least Mean Square algorithm (Me-FxLMS) has been chosen because is a widely used al- gorithm in ANC systems with centralized processing. The proposed algorithm has been implemented with block-data processing as commonly happens in practical systems. Fur- thermore, the algorithm works in the frequency domain and with partitioning of the filters for improving its efficiency. Therefore, we present a new formulation to introduce a dis- tributed algorithm based on the Me-FxLMS together with an incremental collaborative strategy in the network. Results demonstrate that the scalable and versatile distributed algorithm exhibits the same performance than the centralized version. Moreover, some implementation aspects and the computational complexity has been analyzed.