文章摘要
梁清,王世闯,王晓林.基于FxKalman算法的有源控制器设计与实现研究[J].声学技术,2017,(5):491~498
基于FxKalman算法的有源控制器设计与实现研究
Design and implementation of FxKalman based active noise controller
投稿时间:2016-11-29  修订日期:2017-02-22
DOI:10.16300/j.cnki.1000-3630.2017.05.016
中文关键词: 有源噪声控制  卡尔曼滤波  平均降噪量  性能代价比
英文关键词: active noise control  Kalman filtering  average noise reduction value  performance cost ratio
基金项目:
作者单位E-mail
梁清 杭州应用声学研究所, 浙江杭州 310023 snowy91@163.com 
王世闯 杭州应用声学研究所, 浙江杭州 310023  
王晓林 杭州应用声学研究所, 浙江杭州 310023  
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中文摘要:
      近年来,对于有源噪声控制算法的性能越来越重视。与基于维纳滤波原理的最小均方滤波(Filtered-x Least Mean Square,FxLMS)、最小二乘滤波(Filtered-x Recursive Least Square,FxRLS)算法相比较,基于卡尔曼滤波的有源控制算法(Filtered-x Kalman,FxKalman)具有较快的收敛速度和良好的跟踪性能,且对带宽噪声有较好的降噪性能。设计、仿真运行了FxKalman算法的有源控制器,并针对单频、窄带和宽带信号,在实验室封闭空间对FxKalman算法、FxLMS算法和FxRLS算法进行有源控制器验证性实验比较,证实了FxKalman有源控制器具有上述优点。而如果初级噪声为单频信号且对算法收敛速度要求不高,FxLMS算法是最经济稳妥的选择。当需要控制带宽噪声或对算法收敛速度要求较高时,FxKalman算法则为最好的选择。
英文摘要:
      In recent years, the researchers pay more attentions on the performance of active noise control (ANC) algorithms. Compared with the FxLMS and FxRLS algorithms, the Kalman filtering algorithm enjoys a faster convergence speed, a better tracking performance and a better noise reduction capability for broadband noise. In this paper, the FxKalman active controller is designed and simulated, and for single-frequency, narrowband and broadband signals, the active noise control performances of FxKalman algorithm, FxLMS algorithm and FxRLS algorithm are compared in the enclosed-space of the laboratory. Finally, the above-mentioned advantages of FxKalman active controller are proved. However, in the case that the primary noise is a single-frequency signal and the demand for convergence rate of the algorithm is not high, the FxLMS algorithm is the most economical and secure. The FxKalman algorithm is the best choice for broadband noise control or for high convergence speed demand.
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