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Robust source localization from wavefield separation including prior information
Thibault Nowakowski1, Julien de Rosny1, Laurent Daudet1
1École Supérieure de Physique et de Chimie Industrielles de la ville de Paris, L'université de Recherche Paris Sciences et Lettres, Centre National de la Recherche Scientifique, Institut Langevin, 1 rue Jussieu, 75005 Paris, France.
The Journal of the Acoustical Society of America
|May 4, 2017
Summary
Strong reverberation challenges source localization. This study enhances wavefield separation projector processing (WSPP) using prior information, enabling precise localization with fewer microphones.
Area of Science:
- Acoustics
- Signal Processing
- Computational Physics
Background:
- Reverberation significantly impacts narrowband source localization accuracy.
- Existing time-of-arrival methods are susceptible to boundary effects.
- Wavefield separation projector processing (WSPP) addresses reverberation but requires numerous microphones.
Purpose of the Study:
- To reduce the microphone requirement for WSPP.
- To extend WSPP's applicability in reverberant environments.
- To enable precise source localization with limited sensor arrays.
Main Methods:
- Modified WSPP using critical distance information.
- Incorporation of "virtual measurements" with partial room geometry knowledge.
- Green's function estimation for microphone pairs in weakly inhomogeneous media.
Main Results:
- Demonstrated precise source localization numerically and experimentally.
- Significantly reduced the number of microphones needed for effective WSPP.
- Validated the efficacy of the three proposed WSPP extensions.
Conclusions:
- The developed methods effectively mitigate the microphone constraint for WSPP.
- Prior information integration enhances robustness against reverberation.
- Practical and precise source localization is achievable in challenging acoustic conditions.
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