南京大学学报（自然科学版）2025，Vol.61Issue(5)：857-866,10.DOI:10.13232/j.cnki.jnju.2025.05.014
多迭代预处理正则化频域滤波参考最小均方算法
Multi-iterative pre-regularized frequency domain filtered-x least mean square algorithm
摘要
Abstract
Active noise control(ANC)in complex environments such as in-vehicle road noise typically requires a large number of sensors to achieve satisfactory noise control performance,which imposes substantial computational burdens and leads to slow convergence when conventional adaptive algorithms are employed.To address this problem,this paper proposes a Multi-Iterative Pre-Regularized Frequency Domain Filtered-x Least Mean Square(MIPR-FDFxLMS)algorithm,developed upon the Frequency Domain Filtered-x LMS(FDFxLMS)framework.The introduced multi-iteration scheme accelerates convergence without compromising computational efficiency,while the pre-regularization method enhances algorithmic stability.Simulation results using measured vehicle road noise data have verified that the proposed MIPR-FDFxLMS algorithm achieves significantly faster convergence compared to conventional approaches,demonstrating its viability for real-time active road noise control applications.关键词
有源噪声控制/多通道控制系统/自适应滤波/汽车道路噪声Key words
active noise control/multichannel control system/adaptive filtering/vehicle road noise分类
数理科学引用本文复制引用
温开基,邹海山,陈锴..多迭代预处理正则化频域滤波参考最小均方算法[J].南京大学学报（自然科学版）,2025,61(5):857-866,10.基金项目
国家自然科学基金(12274221) （12274221）
