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Audio Source Positioning Based on Angle of Arrival Measurements Using Particle Filter

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Details

Original languageEnglish
Title of host publication 2020 International Conference on Localization and GNSS (ICL-GNSS)
Place of PublicationTampere
Pages1-6
Number of pages6
ISBN (Electronic)978-1-7281-6455-7
DOIs
Publication statusPublished - 12 Jun 2020
Publication typeA4 Article in a conference publication
EventInternational Conference on Localization and GNSS -
Duration: 2 Jun 20204 Jun 2020

Publication series

NameInternational Conference on Localization and GNSS (ICL-GNSS)
PublisherIEEE
ISSN (Print)2325-0747
ISSN (Electronic)2325-0771

Conference

ConferenceInternational Conference on Localization and GNSS
Period2/06/204/06/20

Abstract

This paper presents a numerical approach to the audio source positioning problem using microphones available in mobile devices. The proposed solution is a particle filter. The algorithm accuracy was tested with four different datasets, two measured in an anechoic chamber and two in a listening room. The particle filters smoothing parameter and measurement noise variance are estimated offline. The results show that this algorithm is able to position the audio source well in quiet environments.

Publication forum classification

Field of science, Statistics Finland