Passive Acoustic Localization Based on MEMS Microphone Arrays

Abstract:

In this paper we used the MEMS microphone to detect the sound position. A four–microphone array was constructed to localize sound source with Time Difference of Arrival (TDoA) measurements based on hyperbola model. The time delay was calculated using Generalized Cross Correlation (GCC) algorithm. A practical test system was built to confirm the feasibility of the hyperbola model and GCC algorithm using MEMS microphone. Data were collected in field experiments and calculated on PC by matlab. The results show that the method instructed in this paper is feasible in localizing the sound position with MEMS microphone.

• Periodical: Key Engineering Materials (Volumes 645-646)
• Pages: 517-521
• DOI: https://doi.org/10.4028/www.scientific.net/KEM.645-646.517
• Online since: May 2015
• Authors: Xi Ming Dai*, Wen Zhong Lou, Ming Ru Guo, Fu Fu Wang, Xin Jin
• Keywords: GCC, MEMS Microphone, Passive Acoustic Localization, TDOA

References

[1] Christian Steffes, Lisa Meyer Evaluation of a TDoA based Acoustic Localization System, Sensor Data Fusion: Trends, Solutions, Applications (SDF), 2013 Workshop on.

DOI: 10.1109/sdf.2013.6698255

[2] WANG Minqing, SONG Daike, XING Xiaoliang Research on Speaker Tracking in the Smart Conference System, , Audio Engineering, 2007, vol . 31.

[3] Ju Tailiang, Research on speech source localization Methods based on Microphone Arrays, university of electronic science and technology of china, (2006).

[4] Alexander Sutin, Barry Bunin, Alexander Sedunov, Stevens Passive Acoustic System for Underwater Surveillance, Waterside Security Conference (WSS), 2010 International.

DOI: 10.1109/wssc.2010.5730286

[5] LOU Wenzhong, QIAO Jie, Noise Test and Simulation of Military Aircraft, transactions of Beijing Institute of Technology, 2007, 27(4): 295-298.