Title :
Multiple moving sound source tracking using PSO
Author :
Ohmori, S. ; Suyama, Koichi
Author_Institution :
Dept. of Electr. & Electron. Eng., Tokyo Denki Univ., Tokyo, Japan
Abstract :
In this paper, we propose a multiple sound source tracking method using Particle Swarm Optimization (PSO), and show its performance in an actual room environment. In this method, directions of arrivals (DOAs) of the received signals are estimated by searching peak-point of the MUltiple SIgnal Classification (MUSIC) spectrums using PSO. Several results of the experiments in an actual room environment show the effectiveness of the proposed method.
Keywords :
acoustic generators; acoustic radiators; acoustic signal processing; direction-of-arrival estimation; particle swarm optimisation; signal classification; signal sources; DOA; MUSIC; PSO; directions of arrival estimation; multiple moving sound source tracking; multiple signal classification spectrum; particle swarm optimization; PSO; microphone array; real-time tracking; sound source tracking;
Conference_Titel :
Signal Processing (ICSP), 2012 IEEE 11th International Conference on
Print_ISBN :
978-1-4673-2196-9
DOI :
10.1109/ICoSP.2012.6491618