Title :
A new nonlinear filtering technique for source localization [acoustic applications]
Author :
Beutler, Frederik ; Hanebeck, Uwe D.
Author_Institution :
Inst. of Comput. Design & Fault Tolerance, Karlsruhe Univ., Germany
Abstract :
A new model-based approach for estimating the parameters of an arbitrary transformation between two discrete-time sequences is introduced. One sequence is interpreted as part of a nonlinear measurement equation, the other sequence is typically measured sequentially. Based on every measured value, the probability density function of the parameters is updated using a Bayesian approach. For the evolution of the system over time, a system equation is included. The new approach provides a high update rate for the desired parameters up to the sampling rate with high accuracy. It is demonstrated for source localization of a speaker, where the parameters describe the position of the source.
Keywords :
Bayes methods; acoustic signal processing; direction-of-arrival estimation; nonlinear filters; position measurement; probability; state estimation; Bayesian method; acoustic source localization systems; discrete-time sequences arbitrary transformation; nonlinear filtering technique; nonlinear measurement equation; nonlinear state estimation technique; probability density function; sampling rate; source direction estimation; speaker source localization; time of arrival estimation; update rate; Acoustic sensors; Bayesian methods; Density measurement; Filtering; Microphones; Nonlinear equations; Parameter estimation; Particle tracking; Sampling methods; State estimation;
Conference_Titel :
Sensors, 2004. Proceedings of IEEE
Print_ISBN :
0-7803-8692-2
DOI :
10.1109/ICSENS.2004.1426187
