基于增强扩散策略的多设备节点分布式主动噪声控制系统的实验研究
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
概括
本研究引入了一种用于多设备节点的新分布式主动噪声控制 (DANC) 算法. 这种新的算法实现了以更低的复杂性和更好的稳定性来实现可扩展的降噪应用的集中性能.
科学领域:
- 声学 声学 在声学上
- 信号处理 信号处理
- 控制系统 控制系统
背景情况:
- 分布式主动噪声控制 (DANC) 与传统方法相比,降低了复杂性和提高了稳定性.
- 现有的DANC算法受限于单个设备节点,限制了实际应用的灵活性.
- 增强扩散策略为先进的DANC算法提供了基础.
研究的目的:
- 提出一种能够处理多设备节点的新型DANC算法,以实现灵活和可扩展的应用.
- 评估拟议的算法的性能与现有的集中,分散和增强扩散方法相比.
- 为了证明新的DANC方法的实时适用性和优势.
主要方法:
- 基于多设备节点的增强扩散策略的通用DANC算法的开发.
- 在多核数字信号处理器平台上实现实时分布式ANC系统.
- 通过实时实验,对拟议的算法与集中式,分散式和之前的增强扩散算法进行比较分析.
主要成果:
- 拟议的算法实现了与集中算法相美的降噪性能.
- 它提供的全球计算复杂性低于集中式方法,并避免了分散式方法的不稳定性风险.
- 与之前的增强扩散算法相比,新算法显示了更快的融合和降低了全球通信成本.
结论:
- 支持多设备节点的拟议DANC算法对灵活和可扩展的活性噪声控制是有效的.
- 它为现有的算法提供了一个可行的替代方案,平衡性能,复杂性和稳定性.
- 这些发现突出了在通用系统配置中的重大应用潜力.
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