Localization estimation of sound source by microphones array

In this paper, we studied a localization estimation of sound source angle and distance by plane microphones array. We place the microphones on the peaks of equilateral triangle and square, estimate sound source angle and distance that from source to microphone according to different delays that from source to each microphones. We research an orientation segmentation method by analyzing the delay characteristics and a quick estimation algorithm to reduce the computational complexity. We introduce a quasi-L1-autocorrelation algorithm and an interpolation algorithm for improving estimation accuracy. The system can be used for counter-terrorism, etc. This paper is discussed theoretically and verified with the new method with experimental data.