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Self-localization of monaural microphone using dipole sound sources
Kazuyuki Arikawa1, Keisuke Hasegawa1, Takaaki Nara1
1Graduate School of Information Science and Technology, The University of Tokyo, Tokyo, 113-8656, Japan.
The Journal of the Acoustical Society of America
|February 2, 2023
Summary
This study presents a novel method for indoor microphone localization using dipole sound fields. The technique offers accurate self-localization for location-based services, even in complex indoor environments.
Area of Science:
- Acoustics
- Signal Processing
- Robotics
Background:
- Accurate self-localization of devices is crucial for location-based services.
- Existing methods often require multiple microphones or significant computational resources.
- Monaural microphone localization presents unique challenges due to the lack of spatial cues.
Purpose of the Study:
- To introduce a novel method for indoor self-localization of a monaural microphone.
- To enable location-based services requiring precise device positioning.
- To develop a computationally efficient localization technique.
Main Methods:
- Generating two pairs of dipole sound fields for localization.
- Utilizing orthogonal detection of observed signals for device positioning.
- Implementing simple operations suitable for limited computational resources.
- Proposing a multi-frequency approach to enhance robustness against reflections and scattering.
Main Results:
- Localization accuracy demonstrated through numerical simulations and experiments.
- Average azimuth and zenith angle errors of 4.8° and 1.9° in an anechoic chamber.
- Average azimuth and zenith angle errors of 21° and 11° in an indoor environment.
- Validation of the method's effectiveness in diverse acoustic conditions.
Conclusions:
- The proposed method enables accurate indoor self-localization for monaural microphones.
- The technique is robust against environmental factors like reflection and scattering.
- This approach is suitable for location-based services with limited computational power.
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