关键词: LMS自适应滤波, 二次相关法, 室内声源定位, 强噪声和强混响, 信息处理技术

Abstract: Aiming at the problems of slow convergence rate and low positioning accuracy of the indoor acoustic source localization algorithms under the condition of strong noise and strong reverberation, we proposed an acoustic source localization method based on improved time delay estimation. The method was based on a single source multiple reverberation model. Firstly, the quaternary cross microphone array was used to estimate the time delay. Secondly, on the basis of the generalized crosscorrelation time delay estimation algorithm, quadratic correlation method was introduced to weaken the noise interference. At the same time, the least mean square (LMS) adaptive filtering algorithm was used to compensate for the deficiencies of the generalized crosscorrelation method and improve the time delay estimation precision in the reverberation environment. Finally, the acoustic source was located by the farfield approximation geometric method. Experimental results show that,  compared with the generalized crosscorrelationphase transform (GCCPHAT) algorithm, the proposed method has better antinoise and antireverberation abilities, and achieves more accurate positioning results.

Key words: indoor acoustic source localization, quadratic correlation method, LMS adaptive filtering, information processing technology, strong noise and strong reverberation