一个半自适应的前混合动力主动噪声控制算法用于多通道系统
Shengnan Cao1,2, Hongling Sun1,2, Han Wang1
1Key Laboratory of Noise and Vibration Research of Acoustics, Chinese Academy of Sciences, Beijing, 100190, China.
JASA express letters
|March 11, 2024
概括
本研究介绍了一种混合动力主动噪声控制 (HANC) 系统,该系统有效地减少宽带和窄带噪声. 新的半自适应前方法为混合噪声环境提供了低计算复杂性.
科学领域:
- 声学和信号处理
- 控制系统工程 控制系统工程
背景情况:
- 宽带主动噪声控制中的固定控制器在与侧面噪声降低作斗争.
- 现有系统在处理混合噪声环境时往往缺乏效率.
研究的目的:
- 开发一个半自适应的前混合动力主动噪声控制 (HANC) 系统.
- 在混合噪声场景中,改进降低宽带和窄带噪声组件.
主要方法:
- 一个混合系统,结合了宽带噪声的固定高阶控制器和窄带噪声的自适应低阶FXLMS控制器.
- 宽带和窄带控制器的独立并行操作.
- 通过模拟和实验测试进行系统验证.
主要成果:
- 拟议的半自适应前HANC系统有效控制混合噪声.
- 该系统具有较低的计算复杂性,适合多通道应用.
- 独立的控制器操作确保了高效和有针对性的降噪.
结论:
- 开发的HANC系统为混合噪声环境提供了强大的解决方案.
- 半自适应的前策略为主动噪声控制提供了一个计算效率高的方法.
- 该系统的有效性在实际应用中得到证实.
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