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Development of the Source Reconstruction System by Combining Sound Source Localization and Time Reversal Method

Published online by Cambridge University Press:  09 March 2016

S.-C. Lin ,
G.-P. Too  and
C.-W. Tu
S.-C. Lin*
Affiliation:
Department of Systems and Naval Mechatronic EngineeringNational Cheng Kung UniversityTainan City, Taiwan
G.-P. Too
Affiliation:
Department of Systems and Naval Mechatronic EngineeringNational Cheng Kung UniversityTainan City, Taiwan
C.-W. Tu
Affiliation:
Department of Systems and Naval Mechatronic EngineeringNational Cheng Kung UniversityTainan City, Taiwan
*
*Corresponding author ([email protected])
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Abstract

This study explored the target sound source location at unknown situation and processed the received signal to determine the location of the target, including the reconstructed signal of source immediately. In this paper, it used triangulation sound sources localization and time reversal method (TRM) to reconstruct the source signals. The purpose is to use a sound source localization method with a simple device to quickly locate the position of the sound source. This method uses the microphone array to measure signal from the target sound source. Then, the sound source location is calculated and is indicated by Cartesian coordinates. The sound source location is then used to evaluate free field impulse response function which can replace the impulse response function used in time-reversal method. This process reduces the computation time greatly which makes possible for a real time source localization and source signal separation.

Keywords

TriangulationSource localizationTime reversalTime difference of arrival
Type
Research Article
Information
Journal of Mechanics , Volume 34 , Issue 1 , February 2018 , pp. 35 - 40
Copyright
Copyright © The Society of Theoretical and Applied Mechanics 2018 

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References

1. Carter, G. C., “Time Delay Estimation for Passive Sonar Signal Processing,” IEEE Transactions Acoustics, Speech, Signal Processing, 29, pp. 463–470 (1981).Google Scholar
2. Ferguson, B. G., “Variability in the Passive Ranging of Acoustic Sources in Air Using a Wavefront Curvature Technique,” Journal of the Acoustical Society of America, 108, pp. 1535–1544 (2000).Google Scholar
3. Ferguson, B. G., Criswick, L. G. and Lo, K. W., “Locating Far-Field Impulsive Sound Sources in Air by Triangulation,” Journal of the Acoustical Society of America, 111, pp. 104–116 (2002).Google Scholar
4. Knapp, C. H. and Carter, G. C., “The Generalized Correlation Method for Estimation of Time Delay,” IEEE Transactions Acoustics, Speech, Signal Processing, 24, pp. 320–327 (1976).Google Scholar
5. Ehrenberg, J. E., Ewart, T. E. and Morris, R. D., “Signal Processing Techniques for Resolving Individual Pulses in a Multipath Signal,” Journal of the Acoustical Society of America, 63, pp. 1861–1865 (1978).Google Scholar
6. Chen, J., Benesty, J. and Huang, Y., “Time Delay Estimation in Room Acoustic Environments: An Overview,” EURASIP Journal on Applied Signal Processing, 2006, pp. 1–20 (2006).Google Scholar
7. Wu, S. and Zhu, N., “Locating Arbitrarily Time-dependent Sound Sources in Three Dimensional Space in Real Time,” Journal of the Acoustical Society of America, 128, pp. 728–739 (2010).Google Scholar
8. Quazi, A. H., “An Overview on the Time-Delay Estinate in Active and Passive Systems for Target Localization,” IEEE Transactions Acoustics, Speech, Signal Processing, 29, pp. 527–533 (1981).Google Scholar
9. Tortel, H., Micolau, G. and Saillard, M., “Decomposition of the Time Reversal Operator for Electromagnetic Scattering,” Journal of Electromagnetic Waves and Applications, 13, pp. 687–719 (1999).Google Scholar
10. Gruber, F. K., Marengo, E. A. and Devaney, A. J., “Time-reversal Imaging with Multiple Signal Classification Considering Multiple Scattering between the Targets,” Journal of the Acoustical Society of America, 115, pp. 3042–3047 (2004).Google Scholar
11. Fink, M., “Time Reversal of Ultrasonic Fields-part I: Basic Principles,” IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, 39, pp. 555–566 (1992).Google Scholar
12. Jackson, D. R. and Dowling, D. R., “Phase Conjugation in Underwater Acoustics,” Journal of the Acoustical Society of America, 89, pp. 171–181 (1991).Google Scholar
13. Dungan, M. R. and Dowling, D. R., “Computed Narrow-Band Time-Reversing Array Retrofocusing in a Dynamic Shallow Ocean,” Journal of the Acoustical Society of America, 107, pp. 3101–3112 (2000).Google Scholar
14. Dungan, M. R. and Dowling, D. R., “Computed Narrow-Band Azimuthal Time-Reversing Array Retrofocusing in Shallow Water,” Journal of the Acoustical Society of America, 110, pp. 1931–1942 (2001).Google Scholar
15. Sabra, K. G. and Dowling, D. R., “Broadband Performance of a Time Reversing Array with a Moving Source,” Journal of the Acoustical Society of America, 115, pp. 2807–2817 (2004).Google Scholar
16. Sabra, K. G., “Experimental Demonstration of Iterative Time-Reversed Reverberation Focusing in a Rough Waveguide. Application to Target Detection,” Journal of the Acoustical Society of America, 120, pp. 1305–1314 (2006).Google Scholar
17. Wu, B.-H., Too, G.-P. and Lee, S., “Audio Signal Separation via a Combination Procedure of Time-Reversal and Deconvolution Process,” Mechanical Systems and Signal Processing, 24, pp. 1431–1443 (2010).Google Scholar