TY - GEN
T1 - A Two-Step Approach for Narrowband Source Localization in Reverberant Rooms
AU - Lai, Wei Ting
AU - Birnie, Lachlan
AU - Abhayapala, Thushara
AU - Bastine, Amy
AU - Xu, Shaoheng
AU - Samarasinghe, Prasanga
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - This paper presents a two-step approach for narrowband source localization within reverberant rooms. In the first step, the sound field is decomposed into direct and reverberant components where the latter is estimated as an equivalent superposition of plane waves using Iteratively Reweighted Least Squares. The second step performs source localization by modeling the dereverberated component as a sparse representation of point-source distribution using Orthogonal Matching Pursuit. The proposed method enhances localization accuracy with fewer measurements, particularly in environments with strong reverberation. A numerical simulation in a reverberant room, using a uniform microphone array surrounding the region of interest, demonstrates real-world feasibility. Notably, the proposed method and microphone placement effectively localize sound sources within the horizontal plane without requiring prior knowledge of boundary conditions and room geometry, making it versatile for application in different room types.
AB - This paper presents a two-step approach for narrowband source localization within reverberant rooms. In the first step, the sound field is decomposed into direct and reverberant components where the latter is estimated as an equivalent superposition of plane waves using Iteratively Reweighted Least Squares. The second step performs source localization by modeling the dereverberated component as a sparse representation of point-source distribution using Orthogonal Matching Pursuit. The proposed method enhances localization accuracy with fewer measurements, particularly in environments with strong reverberation. A numerical simulation in a reverberant room, using a uniform microphone array surrounding the region of interest, demonstrates real-world feasibility. Notably, the proposed method and microphone placement effectively localize sound sources within the horizontal plane without requiring prior knowledge of boundary conditions and room geometry, making it versatile for application in different room types.
KW - reverberant environments
KW - sound field decomposition
KW - Source localization
KW - sparse representation
UR - http://www.scopus.com/inward/record.url?scp=85202445873&partnerID=8YFLogxK
U2 - 10.1109/ICASSPW62465.2024.10627696
DO - 10.1109/ICASSPW62465.2024.10627696
M3 - Conference contribution
AN - SCOPUS:85202445873
T3 - 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops, ICASSPW 2024 - Proceedings
SP - 490
EP - 494
BT - 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops, ICASSPW 2024 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops, ICASSPW 2024
Y2 - 14 April 2024 through 19 April 2024
ER -