提出异步通信的多通道降噪系统，降低通信开销且保持降噪效果。
Distributed Multichannel Active Noise Control with Asynchronous Communication
- 各节点独立运行算法，仅在性能下降时才请求通信。
- 通信量显著减少，噪声抑制效果与同步系统相当。
- 适合大规模异构网络，提升系统可扩展性。
分布式多通道主动降噪（DMCANC）通过将集中式控制的计算负载分配到多个低成本节点，在大空间区域实现有效降噪。然而，传统方法通常假设同步通信并频繁交换数据，导致通信开销高。本文提出一种异步通信策略：每个节点独立执行带权重约束的滤波-x LMS（WCFxLMS）算法，仅当本地降噪性能下降时才请求通信。接收方传输其本地控制滤波器与中心点之间的权重差值，用于更新本地滤波器和中心点。该设计使节点能异步运行，同时保持协作行为。仿真结果表明，所提出的异步通信DMCANC（ACDMCANC）系统在显著降低通信负载的同时，仍能维持有效的降噪性能，提升了对异构网络的可扩展性。
原文摘要 · Abstract (English)
Distributed multichannel active noise control (DMCANC) offers effective noise reduction across large spatial areas by distributing the computational load of centralized control to multiple low-cost nodes. Conventional DMCANC methods, however, typically assume synchronous communication and require frequent data exchange, resulting in high communication overhead. To enhance efficiency and adaptability, this work proposes an asynchronous communication strategy where each node executes a weight-constrained filtered-x LMS (WCFxLMS) algorithm and independently requests communication only when its local noise reduction performance degrades. Upon request, other nodes transmit the weight difference between their local control filter and the center point in WCFxLMS, which are then integrated to update both the control filter and the center point. This design enables nodes to operate asynchronously while preserving cooperative behavior. Simulation results demonstrate that the proposed asynchronous communication DMCANC (ACDMCANC) system maintains effective noise reduction with significantly reduced communication load, offering improved scalability for heterogeneous networks.
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