Adaptive Frequency Response Calibration Method for Microphone Arrays

被引：11
|
作者：
Wang, Rui [1 ]
Chen, Zhe [1 ]
Yin, Fuliang [1 ]
机构：
[1] Dalian Univ Technol, Sch Informat & Commun Engn, Dalian 116024, Peoples R China
来源：
IEEE SENSORS JOURNAL | 2020年 / 20卷 / 13期
关键词：
Microphone arrays; Frequency response; Calibration; Array signal processing; Signal processing algorithms; Sensors; Frequency response calibration; frequency domain least mean square algorithm; microphone array;
D O I：
10.1109/JSEN.2020.2978619
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Frequency response mismatch among microphones inevitably leads to performance deterioration of signal processing algorithms of microphone arrays, especially for distributed microphone networks. An adaptive frequency response calibration method for microphone arrays based on frequency domain least mean square (FLMS) algorithm is proposed in this paper. Adaptive calibration filters are first introduced to calibrate the frequency response mismatch among microphones, which are concatenated with microphone channels. Then, the frequency response mismatch problem is formulated with a combined spectrum mean square error criterion of pairwise microphone outputs, and an unit-norm constraint is imposed to avoid undesired solutions. Finally, FLMS algorithm is used to design the calibration filter in each microphone channel. This method achieves good frequency response calibration performance even under severe ambient noise and reverberation conditions. Experimental results reveal the validity of the proposed method.
引用
收藏
页码：7118 / 7128
页数：11
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