An Acoustic Source Localization Method Based on Equal Distances Multi-Sensors Array

Article Preview

Abstract:

The traditional acoustic source is sensitive to time. A novel sound source location method using linear intersection spacing multi-sensors array is provided in this paper. Each array is composed of three spaced nodes, and least squares method is used to calculate the final position according to ternary array results. Multi-arrays method is more robust than the ternary one, and much wider scope is covered. Location scope extends from 120m to 800m when the relative positioning error is 10%. A multi-array group based on linear intersection sound source localization method is provided in this paper too. Experiment results show that the proposed method has higher precision on angle locating than distance locating.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

856-861

Citation:

Online since:

November 2012

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] X.F. LI, H. Liu. A survey of sound source localization for robot audition, CAAI Transactions on Intelligent Systems, vol 7(1) (2012), pp.1-11.

Google Scholar

[2] SUN Hao, YANG Peng, LIU Zuojun, et al. Microphone array based auditory localization for rescue robot. Chinese Control and Decision Conference. Taiyuan, China (2011).

DOI: 10.1109/ccdc.2011.5968253

Google Scholar

[3] X.H. SHENG, Y. H HU. Maximum likelihood multiple-source localization using acoustic energy measurements with wireless sensor networks. IEEE Transactions on Signal Processing, vol 53 (1) (2005), p.44~53.

DOI: 10.1109/tsp.2004.838930

Google Scholar

[4] N. KITAKOGA, T. OHTSUKI. Distributed em algorithms for acoustic source localization in sensor networks. IEEE Vehicular Technology Conference (2006).

DOI: 10.1109/vtcf.2006.513

Google Scholar

[5] F. ASANO, H. ASOH, and T. MATSUI. Sound source localization and separation in near field. IEICE Transactions on Fundamentals of Electronics, E83-A(11)(2000), pp.2286-2294.

Google Scholar

[6] T. AJDLER, I. KOZINTSEV, and R. LIENHART et al. Acoustic source localization in distributed sensor networks. Conference Record -Asilomar Conference on Signals, Systems and Computers, vol 2(2004), pp.1328-1332.

DOI: 10.1109/acssc.2004.1399368

Google Scholar

[7] C.H. KNAPP, G.C. CARTER. The generalized correlation method for estimation of time delay. IEEE Transactions on Acoustics, Speech and Signal Processing, vol 24(4) (1976), 320-327.

DOI: 10.1109/tassp.1976.1162830

Google Scholar

[8] G.C. CARTER. Time Delay Estimation for passive sonar signal Processing. IEEE Transactions on Acoustics, Speech and Signal Processing, ASSP-29(3)(1981), pp.463-470.

DOI: 10.1109/tassp.1981.1163560

Google Scholar

[9] M.S. BRANDSTEIN, J.E. BRANDSTEIN, and Silverman H.F. A closed-form location estimator for use with room environment microphone arrays. IEEE Transactions on Acoustics, Speech and Audio Processing, vol 5(1)(1997) pp.45-50.

DOI: 10.1109/89.554268

Google Scholar

[10] B. LEE , J.S. CHOI. Multi-source sound localization using the competitive K-means clustering. IEEE Conference on Emerging Technologies and Factory Automation. Bilbao, Spain(2010). pp.1-7.

DOI: 10.1109/etfa.2010.5641169

Google Scholar