基于约束模态匹配-加权最小二乘的区域有源噪声控制  

Local Active Noise Control based on Weighted Least Squares-Constraint Matching Pursuit

作　　者：刘经纬 王晓琳[1] LIU Jingwei;WANG Xiaolin(Key Laboratory of Noise and Vibration Research,Institute of Acoustics,Chinese Academy of Science,Beijing,100190,China;University of Chinese Academy of Sciences,Beijing,100049,China)

机构地区：[1]中国科学院声学研究所噪声与振动重点实验室,北京100190 [2]中国科学院大学,北京100049

出　　处：《网络新媒体技术》2020年第5期25-34,共10页Network New Media Technology

摘　　要：在区域存在源控制问题中,在目标区域产生大的降噪量的同时还需要控制次级声源阵列尽量不在其他区域内产生不必要的噪声增加。在实际应用中,可用的次级声源数目和能量都是有限的,如何充分利用有限的资源来最优化控制效果是一大难点。本文提出了一种结合加权最小二乘指向性声场控制算法和约束下的模态匹配次级声源布放优化算法的新有源控制算法。相比于传统均匀布放次级声源阵列的有源控制算法,新算法添加了约束区域并用模态匹配算法进行了次级声源优化布放。仿真显示,相比均匀布放次级源阵列的控制算法,新算法在目标区域获得了更好的降噪效果,并且在约束区域有着更少的噪声增加。In local active noise control problem,the aim is to generate as much noise reduction as possible in the target area while ensuring that the secondary loudspeaker array does not generate too much sound power increase in other areas.In practice,the number and energy of available secondary loudspeakers are limited.How to make full use of limited resources to optimize the control performance is a major difficulty.In this paper,a new active control algorithm combining weighted least squares and constrained matching pursuit is proposed.Compared with the traditional active control algorithm using uniformly distributed secondary loudspeaker array,the new algorithm adds a constrained region and optimizes the secondary loudspeaker placement with the constraint matching pursuit algorithm.The simulation results show that the new algorithm achieves better noise reduction in the target area and has less noise increase in the constrained area compared with the traditional active control algorithm using uniformly distributed secondary loudspeaker array.

关 键 词：有源控制 加权最小二乘 约束模态匹配算法 

分 类 号：TN911.4[电子电信—通信与信息系统]