论文标题
分布式主动噪声控制系统基于块扩散FXLMS算法，并具有双向通信
Distributed Active Noise Control System Based on a Block Diffusion FxLMS Algorithm with Bidirectional Communication
论文作者
论文摘要
最近，基于扩散适应的分布式主动噪声控制系统与常规的集中式和分散的适应方案相比，由于计算复杂性和稳定性之间的平衡，它们在计算复杂性和稳定性之间的平衡引起了重大的研究兴趣。但是，现有的扩散FXLMS算法采用节点特异性适应和邻域范围的组合，并假设邻居节点的控制过滤器彼此相似。在实际应用中，此假设不是正确的，并且导致对集中控制器方法的性能较低。相比之下，本文提出了带有双向通信的块扩散FXLMS算法，该算法使用邻里范围的适应性和节点特异性组合来更新控制过滤器。仿真结果验证了所提出的算法会收敛到集中式控制器的解决方案，并减少了计算负担。
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.
