Prototyping Filter-Sum Beamformers for Sound Source Localization in Mobile Robotics
- 18 January 2006
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Abstract
The work presented in this paper comes as a part of a project which aims at developing an auditory system for a mobile robot. It presents a sound source localization strategy which enables the sensing of signals within a direction of arrival and frequency domain of interest while rejecting other data. A rapid prototyping method is proposed to design filter-sum beamformers on the basis of convex optimization. This method is well-suited to robotics applications as it copes with real-time constraints and allows the localization of broadband signals such as human voice. Numerous simulation results are used to illustrate the reasoning.Keywords
This publication has 11 references indexed in Scilit:
- An LMI solution to visual-based localization as the dual of visual servoingPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2004
- Robust sound source localization using a microphone array on a mobile robotPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2004
- Applying scattering theory to robot audition system: robust sound source localization and extractionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2004
- Localization of simultaneous moving sound sources for mobile robot using a frequency- domain steered beamformer approachPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2004
- Optimal array pattern synthesis using semidefinite programmingIEEE Transactions on Signal Processing, 2003
- Formulating wideband array-pattern optimizationsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- The Cog Project: Building a Humanoid RobotLecture Notes in Computer Science, 1999
- Antenna array pattern synthesis via convex optimizationIEEE Transactions on Signal Processing, 1997
- Two decades of array signal processing research: the parametric approachIEEE Signal Processing Magazine, 1996
- Beamforming: a versatile approach to spatial filteringIEEE ASSP Magazine, 1988