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Hier finden Sie wissenschaftliche Publikationen aus den FraunhoferInstituten. Efficient PhaseBased Acoustic Tracking of Drones using a Microphone Array
 Bugallo, Mónica F. (General Chair) ; Institute of Electrical and Electronics Engineers IEEE; European Association for Signal Processing EURASIP: 27th European Signal Processing Conference, EUSIPCO 2019 : A Coruña, Spain, September 26, 2019 Piscataway, NJ: IEEE, 2019 ISBN: 9789082797039 ISBN: 9789082797022 ISBN: 9781538673003 pp.519523 
 European Signal Processing Conference (EUSIPCO) <27, 2019, A Coruña/Spain> 

 English 
 Conference Paper 
 Fraunhofer FKIE () 
Abstract
An efficient phasebased acoustic detection and tracking algorithm for drones is presented. The algorithm separately tracks the time difference of arrival (TDOA) of the incoming signal with respect to microphone pairs based on the phase in the discrete Fourier transform (DFT) bins. The direction of arrival (DOA) of the drone is determined by forming a solution curve corresponding to each TDOA, then clustering the curve intersections. The algorithm avoids the computationally expensive gridsearch over DOA, so is significantly more efficient than beamforming. The proposed algorithm and the maximum likelihood (ML) processor (beamformer) are compared in simulated and real data scenarios. Using simulated data, the ML estimator is shown to agree with the CramerRao lower bound (CRLB) and the proposed algorithm is shown to approach the performance of ML at higher SNR. In real data scenarios, the phasebased algorithm implemented with simple alphabeta TDOA trackers consistently tracked the target through difficult maneuvers at short and long range, showing no degradation with respect to the beamformer. Other potential advantages include robustness against interference and ability to create phasebased spectrograms for classification.