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Performance Comparison of Omni and Cardioid Directional Microphones for Indoor Angle of Arrival Sound Source Localization
Mid Sweden University, Faculty of Science, Technology and Media, Department of Electronics Design. (STC)
Mid Sweden University, Faculty of Science, Technology and Media, Department of Electronics Design. (STC)ORCID iD: 0000-0002-7213-7626
Mid Sweden University, Faculty of Science, Technology and Media, Department of Electronics Design.
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Systems and Technology. (Realistic3D)
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2022 (English)In: Conference Record - IEEE Instrumentation and Measurement Technology Conference, IEEE, 2022Conference paper, Published paper (Refereed)
Abstract [en]

The sound source localization technology brings the possibility of mapping the sound source positions. In this paper, angle-of-arrival (AOA) has been chosen as the method for achieving sound source localization in an indoor enclosed environment. The dynamic environment and reverberations bring a challenge for AOA-based systems for such applications. By the acknowledgement of microphone directionality, the cardioid-directional microphone systems have been chosen for the localization performance comparison with omni-directional microphone systems, in order to investigate which microphone is superior in AOA indoor sound source localization. To reduce the hardware complexity, the number of microphones used during the experiment has been limited to 4. A localization improvement has been proposed with a weighting factor. The comparison has been done for both types of microphones with 3 different array manifolds under the same system setup. The comparison shows that the cardioid-directional microphone system has an overall higher accuracy. 

Place, publisher, year, edition, pages
IEEE, 2022.
Keywords [en]
angle of arrival, array manifold, cardioid microphone, sound source localization
National Category
Computer Sciences Signal Processing
Identifiers
URN: urn:nbn:se:miun:diva-45756DOI: 10.1109/I2MTC48687.2022.9806559ISI: 000844585400090Scopus ID: 2-s2.0-85134427845ISBN: 9781665483605 (print)OAI: oai:DiVA.org:miun-45756DiVA, id: diva2:1685454
Conference
2022 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2022, 16 May 2022 through 19 May 2022
Available from: 2022-08-03 Created: 2022-08-03 Last updated: 2024-03-11Bibliographically approved

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Jiang, MengNnonyelu, Chibuzo JosephLundgren, JanSjöström, MårtenThungström, Göran

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Jiang, MengNnonyelu, Chibuzo JosephLundgren, JanSjöström, MårtenThungström, Göran
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Department of Electronics DesignDepartment of Information Systems and Technology
Computer SciencesSignal Processing

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CiteExportLink to record
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