In this work a novel approach to acoustic source localization in reverberant environments is introduced. The proposed method effectively employs Particle Filtering (PF) and Particle Swarm Optimization (PSO) in an integrated framework. Source localization is viewed as a global minimization problem where the solution is searched by properly exploiting competition and cooperation among the individuals of a population. Experiments on simulated data show that the proposed strategy is fast and robust with respect to the presence of reverberation. © 2006 IEEE.
Particle Swarm Localization of Acoustic Sources in the Presence of Reverberation / Parisi, Raffaele; P., Croene; Uncini, Aurelio. - STAMPA. - (2006), pp. 4739-4742. (Intervento presentato al convegno ISCAS 2006: 2006 IEEE International Symposium on Circuits and Systems tenutosi a Kos; Greece nel 21-24 maggio 2006).
Particle Swarm Localization of Acoustic Sources in the Presence of Reverberation
PARISI, Raffaele;UNCINI, Aurelio
2006
Abstract
In this work a novel approach to acoustic source localization in reverberant environments is introduced. The proposed method effectively employs Particle Filtering (PF) and Particle Swarm Optimization (PSO) in an integrated framework. Source localization is viewed as a global minimization problem where the solution is searched by properly exploiting competition and cooperation among the individuals of a population. Experiments on simulated data show that the proposed strategy is fast and robust with respect to the presence of reverberation. © 2006 IEEE.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
