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

fYear

2004

fDate

24-27 Oct. 2004

Firstpage

413

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Sensors, 2004. Proceedings of IEEE

Print_ISBN

0-7803-8692-2

Type

conf

DOI

10.1109/ICSENS.2004.1426187

Filename

1426187