时变多频环境下的窄带主动噪声控制研究
结题报告
批准号:
12004058
项目类别:
青年科学基金项目
资助金额:
24.0 万元
负责人:
罗磊
依托单位:
学科分类:
环境声学
结题年份:
2023
批准年份:
2020
项目状态:
已结题
项目参与者:
罗磊
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中文摘要
窄带噪声在工业和军事环境中普遍存在,通常表现为时变、多频特性,其危害程度明显高于单频平稳噪声。窄带主动噪声控制技术在抑制窄带噪声方面优势明显,但其计算效率受窄带频率数量限制,而且在时变噪声环境下降噪性能严重下降。为解决以上问题,本项目以计算低复杂度为起点,研究收敛速度快、降噪能力强的窄带主动噪声控制方法及其应用。具体包括:(1)分析现有窄带主动噪声控制系统数学模型,建立不受频率数量影响的单次级路径估计滤波结构,并优化次级路径估计长度和系数,有效简化在线次级路径估计窄带主动噪声控制系统的计算复杂度;(2)分析简化后系统的收敛边界和稳态误差表达式,为其进一步优化提供先验知识,考虑各频率成分间的相互干扰并进行规避,在最优收敛条件下提升系统降噪能力;(3)搭建通用性实验平台,验证提出方法在实际应用中的可行性。本项目研究成果有助于进一步推动主动噪声控制理论发展,并对其在复杂环境中的应用具有重要意义。
英文摘要
Narrowband noise is common in industrial and military environments and usually exhibits time-varying, multi-frequency characteristics. Narrowband active noise control technology has obvious advantages in suppressing narrowband noise. But its computational efficiency is limited by the number of narrowband frequencies, and its noise reduction performance is severely reduced in a time-varying noise environment. In order to solve the above problems, this project intends to start with low computational complexity and study the harmonic active noise control method with fast convergence speed and strong noise reduction ability and its applications. Specifically includes: (1) analyzing the mathematical model of the existing narrowband active noise control system, establishing the new system with only one secondary path estimation filtering block that is not affected by the number of frequencies, and then optimizing the secondary path estimation length and coefficients to simplify the computational complexity of the narrowband active noise control systems with online secondary path estimation; (2) Analyzing the convergence boundary and steady-state error expression of the simplified system to provide prior knowledge for its further optimization, considering the mutual interference of each frequency component and avoiding them to improve the narrowband noise reduction performance under the condition of optimal convergence; (3) building a universal experimental platform to verify the effectiveness of the proposed methods. The research results of this project help to further promote the development of active noise control theory and have important significance for its application in complex environments.
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专利列表
DOI:10.1109/taslp.2023.3240645
发表时间:2023
期刊:IEEE/ACM Transactions on Audio, Speech, and Language Processing
影响因子:--
作者:Wenjie Zhu;Lei Luo;Jinwei Sun;M. G. Christensen
通讯作者:Wenjie Zhu;Lei Luo;Jinwei Sun;M. G. Christensen
DOI:10.1109/taslp.2022.3209946
发表时间:2022
期刊:IEEE/ACM Transactions on Audio, Speech, and Language Processing
影响因子:--
作者:L. Luo;Wenjie Zhu
通讯作者:L. Luo;Wenjie Zhu
A New Proportionate Filtered-x RLS Algorithm for Active Noise Control System.
用于主动噪声控制系统的新的比例过滤X RLS算法。
DOI:10.3390/s22124566
发表时间:2022-06-17
期刊:SENSORS
影响因子:3.9
作者:Liang, Xiaobei;Yao, Jinyong;Luo, Lei;Zhu, Wenzhao;Zhang, Weifang;Wang, Yanrong
通讯作者:Wang, Yanrong
DOI:10.19650/j.cnki.cjsi.j2210570
发表时间:2023
期刊:仪器仪表学报
影响因子:--
作者:祝文昭;罗磊;张夏
通讯作者:张夏
具有声反馈补偿能力的宽窄带混合噪声非线性主动控制研究
  • 批准号:
    CSTB2023NSCQ-MSX0939
  • 项目类别:
    省市级项目
  • 资助金额:
    10.0万元
  • 批准年份:
    2023
  • 负责人:
    罗磊
  • 依托单位:
国内基金
海外基金