Passive Acoustic Source Localization at a Low Sampling Rate Based on a Five-Element Cross Microphone Array

• Main Authors: Yue Kan, Pengfei Wang, Fusheng Zha, Mantian Li, Wa Gao, Baoyu Song
• Format: Article
• Language: English
• Published: MDPI AG 2015-06-01
• Series: Sensors
• Subjects: passive acoustic source localization; time delay of arrival (TDOA); generalized cross-correlation (GCC); up-sampling (US); interpolation factor; five-element cross microphone array
• Online Access: http://www.mdpi.com/1424-8220/15/6/13326

Accurate acoustic source localization at a low sampling rate (less than 10 kHz) is still a challenging problem for small portable systems, especially for a multitasking micro-embedded system. A modification of the generalized cross-correlation (GCC) method with the up-sampling (US) theory is proposed and defined as the US-GCC method, which can improve the accuracy of the time delay of arrival (TDOA) and source location at a low sampling rate. In this work, through the US operation, an input signal with a certain sampling rate can be converted into another signal with a higher frequency. Furthermore, the optimal interpolation factor for the US operation is derived according to localization computation time and the standard deviation (SD) of target location estimations. On the one hand, simulation results show that absolute errors of the source locations based on the US-GCC method with an interpolation factor of 15 are approximately from 1/15- to 1/12-times those based on the GCC method, when the initial same sampling rates of both methods are 8 kHz. On the other hand, a simple and small portable passive acoustic source localization platform composed of a five-element cross microphone array has been designed and set up in this paper. The experiments on the established platform, which accurately locates a three-dimensional (3D) near-field target at a low sampling rate demonstrate that the proposed method is workable.