一种基于连贯性的可靠的频率依赖的可变步骤大小方法,用于有效的道路噪声控制
Siyuan Lian1,2, Jincheng Gu2, Shuping Wang1
1Key Laboratory of Modern Acoustics, Institute of Acoustics, Nanjing University, Nanjing 210093, China.
The Journal of the Acoustical Society of America
|August 20, 2025
概括
这项研究引入了一种用于有效道路噪声控制 (ARNC) 的新算法,该算法可提高稳定性和融合速度. 这种方法在现实环境中提高了性能,
科学领域:
- 工程
- 听力学
- 信号处理
背景情况:
- 主动道路噪声控制 (ARNC) 有效地减少低频室内噪声.
- 像DWFDFeLMS这样的现有算法表现出快速的融合,但与无关的干扰作斗争.
研究的目的:
- 开发一个强大的ARNC算法,解决现实世界噪音造成的稳定性和融合问题.
- 在动态环境中提高DWFDFeLMS算法的性能.
主要方法:
- 提出了一种基于连贯性的可靠的依赖频率的可变步骤大小方法.
- 使用多通道连贯系数进行动态步骤大小调整和系统稳定性.
- 将新型步骤大小方法与DWFDFeLMS算法集成.
主要成果:
- 新的算法显示出快速的初始收和最小的稳定状态误差.
- 实现了对机干扰和无关干扰的强化弹性.
- 通过测量道路噪音和实时车测试进行模拟验证.
结论:
- 拟议的基于连贯性的可变阶段大小DWFDFeLMS算法为ARNC系统提供了卓越的融合速度和稳定性.
- 这种方法有效地减轻了车辆内的道路噪声,在具有挑战性的现实环境下.
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