摘要
为了提高有源噪声控制系统的降噪效果,提出了基于经验模态分解(empirical mode decomposition,EMD)和响度的控制系统。该系统首先采用EMD方法对噪声源进行自适应分解,并对分解后的各个固有模态函数(intrinsic mode functionI,MF)分量的响度进行计算,然后根据各个分量的响度大小进行残差滤波器的设计。与基于A计权曲线设计的残差滤波器相比,该方法所设计滤波器能更好地抑制响度较小的信号频率成分。对有源噪声控制系统的降噪效果进行了仿真,结果表明,所提出的控制系统比传统滤波-X LMS(filtered-X least mean square)方法和采用基于A计权残差滤波器的系统降噪效果更好。
In order to improve the noise reduction effect of the control system,an active noise control system based on EMD（empirical mode decomposition） and loudness is proposed.The noise source is decomposed adaptively using EMD at first and the loudness of all IMFs is calculated in such a system.Then a shaping filter of the error signal is designed according to the amplitudes of the IMF loudness.The filter designed with this method can restrain the components of noise source with small loudness better than A-weighting shaping filter.The noise reduction effect of the active noise control system is simulated.The results show that the control system proposed in this paper can improve the noise reduction effect compared with the system based on filtered-X LMS（filtered-X least mean square） and A-weighting shaping filter.
出处
《仪器仪表学报》
EI
CAS
CSCD
北大核心
2012年第4期801-808,共8页
Chinese Journal of Scientific Instrument
基金
国家自然科学基金(51075131和51175158)
湖南大学汽车车身先进设计制造国家重点实验室自主研究课题(60870002)资助项目
关键词
经验模态分解
响度
有源噪声控制
固有模态函数
empirical mode decomposition（EMD）
loudness
active noise control
intrinsic mode function（IMF）
