A Target Direction Search Algorithm Based on Microphone Array
* Presenting author
The use of a microphone array to obtain the direction of a far-field target is an important means of impacting-point detection. In this paper, a new algorithm is proposed for the pulsed acoustic signal orientation. By calculating the Euclidean distance between the position vector projection and the acoustic path difference of each microphone at different azimuth angles, the angle corresponding to the minimum distance is the target azimuth. In the case of poor or damaged signal quality of some microphones, the minimum distance searched out will be relatively large. By setting the threshold value, the participating operation can be eliminated, and the accuracy and stability of the orientation can be improved. In this paper, the principle of target direction search is introduced, the accuracy and stability of orientation are simulated and experimentally verified, and compared with the traditional algorithm, the algorithm is proved to be not only high precision but also strong. It has important reference significance for the practical engineering application of passive sound detection such as impact point measurement.