Localization of Unmanned Aerial Vehicles With Microphone Arrays
* Presenting author
Abstract:
The topic of this presentation is the automatized determination of the location and trajectory of sound sources by acoustic measurements with microphone arrays. It is possible to focus in a specific direction with the microphone array by amplifying and delaying the received signals in a suitable manner, with the help of beamforming algorithms.MUSIC (Multiple Signal Classification) is a relatively simple and fast beamforming algorithm that can be used to locate incoherent sound sources. This method is based on the separation of the received signal’s cross-spectral matrix to signal and noise subspaces. In addition to determining the direction of arrival of the sound waves, we also estimated the exact position of the sound sources by having focal points at various distances from the microphone array, which is a novelty in the field of acoustics.We evaluated the performance of the MUSIC algorithm through simulations in the MATLAB environment. The method is suitable for the estimation of the direction of arrival of simulated sound waves, so its extension to track the position of the sources can be tested. Moreover, we used MUSIC for real measurements, where unmanned aerial vehicles act as sound sources.