Distributed Active Noise Control System Based on a Block Diffusion FxLMS Algorithm with Bidirectional Communication

TL;DR

This paper introduces a novel distributed active noise control algorithm that uses bidirectional communication and block diffusion FxLMS, achieving performance comparable to centralized systems with less computational effort.

Contribution

It proposes a new Block Diffusion FxLMS algorithm with bidirectional communication, overcoming practical limitations of previous diffusion methods.

Findings

Converges to centralized controller solutions

Reduces computational burden

Outperforms existing diffusion FxLMS algorithms

Abstract

Recently, distributed active noise control systems based on diffusion adaptation have attracted significant research interest due to their balance between computational complexity and stability compared to conventional centralized and decentralized adaptation schemes. However, the existing diffusion FxLMS algorithm employs node-specific adaptation and neighborhood-wide combination, and assumes that the control filters of neighbor nodes are similar to each other. This assumption is not true in practical applications, and it leads to inferior performance to the centralized controller approach. In contrast, this paper proposes a Block Diffusion FxLMS algorithm with bidirectional communication, which uses neighborhood-wide adaptation and node-specific combination to update the control filters. Simulation results validate that the proposed algorithm converges to the solution of the centralized controller with reduced computational burden.