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虚拟传声器的有源噪声控制
引用本文:陈群挺,周亚丽,张奇志.虚拟传声器的有源噪声控制[J].噪声与振动控制,2009,29(2):62-65.
作者姓名:陈群挺  周亚丽  张奇志
作者单位:北京信息科技大学,自动化学院,北京,100192
基金项目:北京市属市管高校人才强教计划,北京市优秀人才培养资助项目 
摘    要:研究虚拟传声器的有源噪声控制问题。该技术适用于控制区域不适合放置误差传声器的场合。将误差传声器置于控制区域之外,得到测量误差。采用前向差分预测算法预测控制区域内的残余误差信号,然后利用自适应LMS算法,得到最优的噪声控制滤波器。为了尽量消除预测中存在的误差,采用自适应变权值预测算法。仿真结果表明该方法能有效地抑制噪声,使控制区域内的噪声信号得到明显衰减。

关 键 词:声学  有源噪声控制  虚拟传声器  仿真  前向差分预测

Active Noise Control Using Virtual Sensors
CHENG Qun-ting,ZHOU Ya-li,ZHANG Qi-zhi.Active Noise Control Using Virtual Sensors[J].Noise and Vibration Control,2009,29(2):62-65.
Authors:CHENG Qun-ting  ZHOU Ya-li  ZHANG Qi-zhi
Affiliation:(Beijing Information Science & Technology University, School of Automation, Beijing 100192, China)
Abstract:The active noise control using virtual sensors is studied. The virtual sensors technique is used for these cases that the error sensors are unlikely to be placed in the control region. The error sensors are placed out of the control area to get measurement errors. Then the residual error signal is predicted using the forward finite-difference method, and the adaptive LMS algorithm is used to get optimal active noise control filter. In order to reduce errors in the prediction, the adaptive varying weight prediction control approach is introduced. Simulation results show that the noise signals are obviously reduced in the control area using virtual sensors.
Keywords:acoustics  active noise control  virtual sensor  simulation  forward finite-difference prediction
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