一个增强扩散算法与双向通信,用于分布式主动噪声控制系统
Tianyou Li1, Li Rao1, Sipei Zhao2
1Key Laboratory of Modern Acoustics, Institute of Acoustics, Nanjing University, Nanjing 210093, China.
The Journal of the Acoustical Society of America
|December 1, 2023
概括
本研究介绍了分布式主动噪声控制系统中增强扩散算法的双向通信方案. 这种方法提高了降噪效率,同时降低了计算和通信成本.
科学领域:
- 信号处理 信号处理
- 声学 声学 在声学方面
- 控制系统 控制系统
背景情况:
- 分布式主动噪声控制 (DANC) 系统提供了计算负载和稳定性之间的平衡.
- 传统的多任务扩散FxLMS算法由于不切实际的一致性假设而表现出性能限制.
- 现有的增强扩散算法提高了性能,但增加了计算和通信需求.
研究的目的:
- 为DANC系统中的增强扩散算法提出一种新的双向通信方案.
- 为了降低与DANC相关的内存,计算和通信成本.
- 提高DANC系统的融合速度和降噪性能.
主要方法:
- 增强扩散FxLMS算法的双向通信策略的开发.
- 拟议方案在自由场和测量室脉冲响应环境中的实施和模拟.
- 与传统单向通信 DANC 系统对比双向方案.
主要成果:
- 拟议的双向通信增强扩散算法与单向通信相比,显示出更快的融合.
- 观察到显著减少了内存需求,计算负担和通信成本.
- 双向方案保持或提高降噪性能.
结论:
- 双向通信是增强DANC中扩散算法的可行和有效策略.
- 拟议的方法为提高DANC系统的性能和减少DANC系统的开销提供了一个实际的解决方案.
- 这一进步对需要高效和强大的主动噪声控制的现实应用有影响.
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