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Archives of Acoustics

The Journal of Institute of Fundamental Technological of Polish Academy of Sciences


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ISSN
2300-262X
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An Introduction to Virtual Phased Arrays for Beamforming Applications

12 / Keith R. Holland1 / Dolores García Escribano2 / Hans-Elias de Bree2

1Institute of Sound and Vibration Research University of Southampton SO17 1BJ, Southampton, UK

2Microflown Technologies Tivolilaan 205, 6824 BV, Arnhem, the Netherlands

© 2014 Polish Academy of Sciences & Institute of Fundamental Technological Research (IPPT PAN). This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License. (CC BY-NC-ND 3.0)

Citation Information: Archives of Acoustics. Volume 39, Issue 1, Pages 81–88, ISSN (Online) 2300-262X, DOI: 10.2478/aoa-2014-0009, March 2015

Publication History

Received:
2013-02-08
Accepted:
2014-02-14
Published Online:
2015-03-01

Abstract

Sound localization problems are usually tackled by the acquisition of data from phased microphone arrays and the application of acoustic holography or beamforming algorithms. However, the number of sensors required to achieve reliable results is often prohibitive, particularly if the frequency range of interest is wide. It is shown that the number of sensors required can be reduced dramatically providing the sound field is time stationary. The use of scanning techniques such as “Scan & Paint” allows for the gathering of data across a sound field in a fast and efficient way, using a single sensor and webcam only. It is also possible to characterize the relative phase field by including an additional static microphone during the acquisition process. This paper presents the theoretical and experimental basis of the proposed method to localise sound sources using only one fixed microphone and one moving acoustic sensor. The accuracy and resolution of the method have been proven to be comparable to large microphone arrays, thus constituting the so called “virtual phased arrays”.

Keywords: beamforming; source localization; virtual phased arrays; measurement techniques

References

  • 1. Camier C, Blais J.-F., Lapointe R., Berry A. (2012), A time-domain analysis of 3D non-uniform moving acoustic sources: application to source identification and absolute quantification via beamforming, Proceeding of Berlin Beamforming Conference, Germany.

  • 2. Curlander J.C., McDonough R.N. (1991), Synthetic Aperture Radar: Systems and Signal Processing, John Wiley & Sons.

  • 3. Cutrona L.J. (1975), Comparison of sonar system performance achievable using synthetic-aperture techniques with the performance achievable with more conventional means, J. Acoust. Soc. Amer., 58, 336-348.

  • 4. Cutrona L.J. (1977), Additional characteristics of synthetic-aperture sonar systems and a further comparison with nonsynthetic-aperture sonar systems, J. Acoust. Soc. Amer., 61, 1213-1217.

  • 5. De Hoop A.T. (2009), Electromagnetic radiation from moving, pulsed source distributions: The 3D timedomain relativistic Doppler effect, Wave motion, 46, 74-77.

  • 6. Fernandez Comesana D., Wind J., Holland K.R., Grosso A. (2011), Far field source localization using two transducers: a virtual array approach, Proceedings of 18th International Congress of Sound and Vibration, Rio de Janeiro, Brazil.

  • 7. Fernandez Comesana D., Wind J., de Bree H.E., Holland K.R. (2012), Virtual Arrays, a novel broadband source localization technique, Proceedings of NOVEM: Emerging Methods.

  • 8. Fernández Comesana D., Fernández Grande E., Tiana-Roig E, Holland K.R. (2013a), A novel deconvolution beamforming algorithm for virtual phased arrays, Proceedings of Internoise.

  • 9. Fernández Comesana D., Wind J., de Bree H.E., Holland K.R. (2013b), Assessing Vehicle Exterior Noise Using a Virtual Phased Array (VPA), SAE Technical Paper 2013-01-1968, 2013.

  • 10. Fernández Comesana D., Steltenpool S., Carrillo Pousa G., de Bree H.E., Holland K.R. (2013c), Scan and paint: theory and practice of a sound field visualization method, ISRN Mechanical Engineering, Volume 2013, ID 241958, 11 pages.

  • 11. Hayes M.P., Gough P.T. (2009), Synthetic aperture sonar: A review of current status, IEEE Journal of Oceanic Engineering, 34, 207-224.

  • 12. Johnson D.H., Dudgeon D.E. (1993), Array signal processing: Concepts and techniques, Prentice-Hall.

  • 13. Manolakis D.G., Ingle V.K., Kogon S.M. (2005), Statistical and adaptive signal processing, Artech House.

  • 14. Percival D.B., Walden, A.T. (1993), Spectral Analysis for Physical applications, Cambridge University Press.

  • 15. Shin K., Hammond J.K. (2008), Fundamentals of signal processing for sound and vibration engineers, John Wiley & Sons.

  • 16. Wiley C.A. (1985), Synthetic aperture radars, IEEE Trans. Aerosp. Electron. Syst. v. AES-21, pp. 440-443.

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