Multiple Sound Sources 3D Localization System Using TDOA and Tetrahedral Microphone Array
Cong Xu
Ravi Sankar
DOI: https://doi.org/10.59429/esta.v10i5.1401
Keywords: Multi-Source Localization; TDOA; Fast Feature Peak Discrimination; Multiple Signal Classification; 3D Sound Source Visualization
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.
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