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一种无需次级通道模型的有源噪声控制算法

Active noise control system requiring no secondary path identification
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摘要 多数有源噪声控制算法效果依赖于次级通道模型,不仅增加了算法的复杂度,也引入了稳定性等问题.基于滤波-XLMS算法的严格正实数(SPR)条件,通过引入一套自动相位补偿机制,提出了一种无需次级通道模型的噪声控制算法.仿真结果表明,与现有的类似算法相比,该算法能自动对次级通道的相位偏移进行补偿,不管输入噪声频率如何,该算法都能有效收敛. The effects of most active noise control algorithms rely on the identification of the secondary path,which usually leads to increased complexity as well as stability problems.Based on the strict positive real(SPR) property of the filtered-x LMS algorithm,a new ANC algorithm requiring no secondary path identification is proposed by introducing a phase compensating mechanism.Simulation results show that this algorithm can automatically find the right compensating phase of the secondary path and will always converge regardless of the noise frequency,compared with the existing method.
出处 《西安电子科技大学学报》 EI CAS CSCD 北大核心 2010年第2期340-345,358,共7页 Journal of Xidian University
基金 浙江省自然基金资助项目(Y107740) 浙江省科技攻关资助项目(2008A610008) 宁波市自然基金资助项目(2008A610008)
关键词 有源噪声控制 自适应滤波器 自适应相位补偿 严格正实数条件 active noise control adaptive filter adaptive phase compensation strict positive real
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参考文献11

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