This study proposes an extension of the subband adaptive filtering technique to distributed active noise control systems and the details of the algorithm are presented. The computational requirements and convergence performance are examined for a network with a ring topology without constraints in communication. The proposed algorithm divides the signal of each node into several subbands to reduce the dynamic range of the spectrum and consequently accelerate the convergence speed. Since the subband decomposition contains a decimation process, the computational complexity is reduced as the number of subbands is increased. Simulations are conducted to compare different algorithms and an 8‐node network is studied in terms of noise reduction performance. The results demonstrate the efficacy of the proposed algorithm for broadband active noise control and the convergence speed could be improved compared to the distributed multiple error filtered‐x (DMEFxLMS) algorithm. © 2021 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.

中文翻译：

---

分布式有源噪声控制系统的子带自适应滤波

该研究提出了将子带自适应滤波技术扩展到分布式有源噪声控制系统的方法，并详细介绍了该算法。对于具有环形拓扑且通信不受限制的网络，将检查其计算要求和收敛性能。该算法将每个节点的信号划分为几个子带，以减小频谱的动态范围，从而加快收敛速度​​。由于子带分解包含抽取过程，因此随着子带数量的增加，计算复杂度降低。进行了仿真以比较不同的算法，并在降噪性能方面研究了8节点网络。结果表明，与分布式多重误差滤波x（DMEFxLMS）算法相比，该算法对宽带有源噪声控制的有效性，并且可以提高收敛速度。©2021日本电气工程师学会。由Wiley Periodicals LLC发布。