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Experimental study of a distributed active noise control system with multi-device nodes based on augmented diffusion

Tianyou Li¹, Sipei Zhao², Li Rao¹

¹Key Laboratory of Modern Acoustics, Institute of Acoustics, Nanjing University, Nanjing 210093, China.

The Journal of the Acoustical Society of America

|November 15, 2024

Summary

This study introduces a new distributed active noise control (DANC) algorithm for multi-device nodes. The novel algorithm achieves centralized performance with lower complexity and improved stability for scalable noise reduction applications.

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Area of Science:

Acoustics
Signal Processing
Control Systems

Background:

Distributed active noise control (DANC) offers reduced complexity and improved stability over traditional methods.
Existing DANC algorithms are limited by single-device nodes, restricting practical application flexibility.
The augmented diffusion strategy provides a foundation for advanced DANC algorithms.

Purpose of the Study:

To propose a novel DANC algorithm capable of handling multi-device nodes for flexible and scalable applications.
To evaluate the performance of the proposed algorithm against existing centralized, decentralized, and augmented diffusion methods.
To demonstrate the real-time applicability and advantages of the new DANC approach.

Main Methods:

Development of a generalized DANC algorithm based on the augmented diffusion strategy for multi-device nodes.
Implementation of a real-time distributed ANC system on a multi-core digital signal processor platform.
Comparative analysis of the proposed algorithm with centralized, decentralized, and previous augmented diffusion algorithms through real-time experiments.

Main Results:

The proposed algorithm achieves noise reduction performance comparable to centralized algorithms.
It offers lower global computational complexity than centralized methods and avoids the instability risks of decentralized methods.
The new algorithm demonstrates faster convergence and reduced global communication costs compared to the prior augmented diffusion algorithm.

Conclusions:

The proposed DANC algorithm with multi-device node support is effective for flexible and scalable active noise control.
It presents a viable alternative to existing algorithms, balancing performance, complexity, and stability.
The findings highlight the significant application potential in generalized system configurations.