Multiple Sound Sources 3D Localization System Using TDOA and Tetrahedral Microphone Array

Cong Xu, Ravi Sankar

Abstract


In this paper, we propose an acoustic positioning and tracking system using time difference of arrival (TDOA) for multiple sound source positions in a three-dimensional (3D) space. The microphone array uses a regular tetrahedron structure and only requires four sensors to realize the position analysis of the sound source. We develop a fast cross-correlation algorithm to obtain characteristic peaks quickly from the TDOA data, which can effectively distinguish the phases of different sound sources and locate them in a multi-source environment. The optimized TDOA algorithm uses a minimum number of 3D sound source capture sensor arrays, which can capture the 3D coordinates of every sound source while performing low-latency multiple signal classification (MUSIC) calculations. The development of this technology will have a wide range of applications in real-time sound source coordinate acquisition in the field of multi-source acoustic visualization.


Keywords


Multi-Source Localization; TDOA; Fast Feature Peak Discrimination; Multiple Signal Classification; 3D Sound Source Visualization

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References


Michaud S, Faucher S, Grondin F, et al., “3D Localization of a Sound Source Using Mobile Microphone Arrays Referenced by SLAM” 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020 , pp. 10402–10407.

Iyama1 T, Sugiyama1 O, Otsuka1 T, et al., “Visualization of auditory awareness based on sound source positions estimated by depth sensor and microphone array” 2020 I 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2014), 2014, pp. 1908–1913.

Sasaki Y, Tanabe R and Takemura H, “Probabilistic 3D Sound Source Mapping using Moving Microphone Array” 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2016, pp. 1293–1298.

Alex C, Jose KM, Joseph A, “Sound Localization and Visualization Device” IEEE 2013 Global Humanitarian Technology Conference, 2013, pp. 362–364.

Wakatsuki N, Ebihara T, Mizutani K and Aoki T, “Sound Source Visualization System in Reflective Environment Using Time-Reversal Wave” 2019 IEEE 8th Global Conference on Consumer Electronics (GCCE), 2019, pp. 307–310.

Moravec M, Badida M, Pinosová M, Dzuro T and Badidová A, “Innovative Application Options of Sound Visualization Tools” 2019 International Council on Technologies of Environmental Protection (ICTEP) , 2019, pp. 191–194.

Pourmohammad A, and Ahadi SM, “Real Time High Accuracy 3-D PHAT-Based Sound Source Localization Using a Simple 4-Microphone Arrangement.” IEEE Systems Journal, 2012, pp. 455–468.

Kawanishi M, Maruta R, Ikoma N, Kawano H and Maeda H, “Sound Target Tracking in 3D using Particle Filter with 4 Microphones” SICE Annual Conference 2007, 2007, pp. 1427–1430.

Kunin V, Jia W, Turqueti M, Saniie J and Oruklu E, “3D Direction of Arrival Estimation and Localization Using Ultrasonic Sensors in an Anechoic Chamber” 2011 IEEE International Ultrasonics Symposium Proceedings, 2011, pp. 756–759.




DOI: https://doi.org/10.18686/esta.v10i5.513

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