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Sub-sampling-based 2D localization of an impulsive acoustic source in reverberant environments

Muhammad Omer, Ahmed A. Quadeer, Mohammad S. Sharawi and Tareq Y. Al-Naffouri

Article (2014)

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This paper presents a robust method for two-dimensional (2D) impulsive acoustic source localization in a room environment using low sampling rates. The proposed method finds the time delay from the room impulse response (RIR) which makes it robust against room reverberations. We consider the RIR as a sparse phenomenon and apply a recently proposed sparse signal reconstruction technique called orthogonal clustering (OC) for its estimation from the sub-sampled received signal. The arrival time of the direct path signal at a pair of microphones is identified from the estimated RIR, and their difference yields the desired time delay estimate (TDE). Low sampling rates reduces the hardware and computational complexity and decreases the communication between the microphones and the centralized location. Simulation and experimental results of an actual hardware setup are presented to demonstrate the performance of the proposed technique.

Uncontrolled Keywords

Impulsive source localization; Room impulse response (RIR); Orthogonal clustering (OC); Sub-sampling

Subjects: 3100 Physics > 3109 Acoustics
Department: Department of Electrical Engineering
Funders: King Abdulaziz City for Science and Technology (KACST) through the Science and Technology Unit at King Fahd University of Petroleum and Minerals (KFUPM)
Grant number: 09-ELE763-04
PolyPublie URL: https://publications.polymtl.ca/5062/
Journal Title: EURASIP Journal on Advances in Signal Processing (vol. 2014, no. 1)
Publisher: Hindawi
DOI: 10.1186/1687-6180-2014-116
Official URL: https://doi.org/10.1186/1687-6180-2014-116
Date Deposited: 20 Dec 2022 14:24
Last Modified: 17 May 2023 22:41
Cite in APA 7: Omer, M., Quadeer, A. A., Sharawi, M. S., & Al-Naffouri, T. Y. (2014). Sub-sampling-based 2D localization of an impulsive acoustic source in reverberant environments. EURASIP Journal on Advances in Signal Processing, 2014(1), 116 (20 pages). https://doi.org/10.1186/1687-6180-2014-116


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