Multiple Acoustic Sources Location Based on MUSIC Algorithm

TL;DR: Multiple acoustic sources location based on MUSIC algorithm accurately detects and locates multiple lightning sources.

Abstract: During the development of lightning, there may be multiple lightning sources sounding simultaneously, thus leads to the mixing of lightning signals and increases the difficulty of lightning location. The identification and location of multiple lightning sources are of practical significance to the research of the physical mechanism of lightning channel development. In this paper, a spiral-spherical microphone array previously proposed by author's research group is used to acquire the pulse signal generated by the horn which simulated thunder. Then based on the Multiple Signal Classification (MUSIC) algorithm, the acoustic source location results are obtained to detect the accuracy of the system. The results show that the recognition and location of multiple acoustic sources can be accurately obtained. The generation of grating lobes can be well suppressed, the obvious fake acoustic sources can be effectively avoided and the average measured result matches the theoretical value. So the designed location system meets expectations. This paper lays a theoretical and practical foundation for the follow-up field observation and research of thunder.