Research on sound source localization method using data fusion of multiple microphone arrays
Addressing the issues of TDOA estimation accuracy being limited by sampling frequency and the large localization errors of a single microphone array,this paper proposes two improved methods and conducts simulation verification. Firstly,to tackle the problem of significant TDOA estimation errors caused by low sampling frequency,a modified cross-correlation algorithm based on cubic spline interpolation is proposed. This method involves performing cubic spline interpolation after the first cross-correlation to increase the sampling frequency,followed by a second cross-correlation to obtain the TDOA. Simulations under 10x interpolation conditions demonstrate that this method reduces the TDOA error from 7.6％ to 0.6％,effectively minimizing the estimation error. Secondly,to address the large localization errors associated with a single microphone array,a multi-microphone array data fusion method for sound source localization is proposed. This approach involves fusing the localization results of multiple microphone arrays to obtain the final sound source position. Using a quaternary cross array as an example,simulations were conducted at 10 points in space,comparing far-field localization accuracy between dual-microphone arrays,quad-microphone arrays,and single microphone arrays. The results show that the localization error for a single microphone array exceeds 1 meter when the sound source is distant,whereas the proposed dual-microphone array design achieves localization errors below 0.3 meters,and the quad-microphone array achieves errors below 0.2 meters,significantly enhancing the accuracy of sound source localization.
time difference of arrivalmicrophone arraysound source localizationcubic spline interpolationcross-correlation
万方数据
维普
