On Some DOA Algorithms for Tri-axial Geophone

Authors

  • Jan Mazur Department of Electronics, Wrocław University of Technology
  • Zbigniew Świętach Department of Electronics, Wrocław University of Technology

Abstract

In this paper a short study of some basic methods of DOA of a seismic wave using so called tri-axial geophone has been presented. The proposed methods exploit the properties of Rayleigh surface plane wave to find DOA of an incoming seismic wave using inner products of appropriately filtered signals recorded by geophones. The advantage of the proposed method is its simplicity and ease of implementation in small DSP or application processors still retaining pretty good accuracy. A number of example results for real data have been given.

References

J. Chen, Y. Kung, and R. Hudson, “Source localization and beamforming,” IEEE Transactions on Signal Processing, vol. 19, no. 2, pp. 30–39, March 2002.

P. Stoica and A. Greshman, “Maximum likelihood doa estimation by data supported grid search,” IEEE Signal Processing Letters, vol. 6,

no. 10, 1999.

P. Stoica and K. Sharman, “Maximum likelihood methods for direction of- arrival estimation,” IEEE Transactions on Acoustic, Speech and Signal Processing, vol. 38, no. 7, 1990.

R. Roy and T. Kailath, “Esprit-estimation of signal parameters via rotational invariance techniques,” IEEE Transactions on Acoustic, Speech and Signal Processing, vol. 37, no. 7, 1989.

J. Bobbitt, “Three component rayleigh wave filter,” America Oil and Gas Journal, pp. 72–77, 1986.

E. Smith et al., “Measurement and localization of the interface wave reflections from a buried target,” Journal Acoustical Society of America, pp. 2333–2343, 1998.

J. Stafsudd, S. Asgari, M. Ali, C. Chen, R. Hudson, F. Lorenzelli, K. Yao, and E. Taciroglu, “Analysis, implementation and application of acoustic and seismic arrays,” Acta Automatica Sinica, vol. 32, no. 6, 2006.

J. Stafsudd, S. Asgari, R. Hudson, K. Yao, and E. Taciroglu, “Localization of short-range acoustic and seismic wideband sources: Algorithms and experiments,” Journal of Sound and Vibration, vol. 312, pp. 74–93, 2008.

V. Reddy, D. Venkatraman, A. Khong, and B. Ng, “Footstep detection and denoising using a single tri-axial geophone,” in Conference on

Circuits and Systems, Asia, December 2010, pp. 1171–1174.

D. Venkatraman, V. Reddy, and A. Khong, “A study of the ambiguity

problem in footstep bearing estimation using tri-axial geophone,” in 8th International Conference of Information, Communication and Signal Processing (ICICS), December 2011, pp. 1–5.

D. Venkatraman, V. Reddy, A. Khong, and B. Ng, “Polarization-cumenergy metric for footstep detection using vector-sensor,” in International Conference on Technologies for Homeland Security (HST), November 2011, pp. 196–201.

R. Kirlin, J. Nabelek, and G. Lin, “Triaxial array separation of Rayleigh and love waves,” in IEEE Proceedings of ASILOMAR-29, 1996, pp. 722–725.

S. Stotts, R. Gramann, and M. Bennett, “Source bearing determination from a tri-axial seismometer using rayleigh wave propagation,” Journal of Acoustical Society of America, pp. 2003–2012, May 2004.

Z. W. J. Mazur, “Efficient doa estimation using tri-axial geophon,” in The International Conference on Signals and Electronic Systems ICSES’ 2012, Wrocław, 2012.

Z. Kasina, Seismic Reserach Methodology. Kraków: GSMiE PAN Publishing, 1998, in polish.

Z. Kasina, Seismic Signal Theory. Krakow: AGH Publishing, 2009, in polish.

O. Novotny, Seismic Surface Waves. Bahia, Salvador: Instituto de Geociencias, 1999.

M. Hobiger, N. Bihan, C. Cornou, and P. Bard, “Rayleigh wave ellipticity estimation from ambient seismic noise using single and

multiple vector-sensor techniques,” in 17th European Signal Processing Conference, Nagoya, Japan, August 2009, pp. 2037–2041.

M. Hobiger, N. Bihan, C. Cornou, and P. Bard, “Multicomponent signal processing for Rayleigh wave ellipticity estimation,” IEEE Signal Processing Magazine, pp. 29–39, April 2012.

D. Donoho, “De-noising by soft tresholding,” IEEE Transactions on Information Theory, vol. 41, no. 3, pp. 613–627, May 1995.

C. Taswell, “The what, how, and why of wavelet shrinking denoising,” Stanford University, Tech. Rep. CT-1998-09, September 1998.

J. Szabatin, Fundamentals of Theory of Signals. Warszawa: WKiŁ, 1982, in polish.

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2014-09-24

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