Acoustic Signal Detection Through the Cross-Correlation Method in Experiments with Different Signal to Noise Ratio and Reverberation Conditions

  • S. Adrián-Martínez
  • M. Bou-Cabo
  • I. Felis
  • C. D. Llorens
  • J. A. Martínez-Mora
  • M. Saldaña
  • M. ArdidEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8629)


The study and application of signal detection techniques based on cross-correlation method for acoustic transient signals in noisy and reverberant environments are presented. These techniques are shown to provide high signal to noise ratio, good signal discernment from very close echoes and accurate detection of signal arrival time. The proposed methodology has been tested on different signal to noise ratio and reverberation conditions using real data collected in several experiences related to acoustic systems in astroparticle detectors. This work focuses on the acoustic detection applied to tasks of positioning in underwater structures and calibration such those as ANTARES and KM3NeT deep-sea neutrino telescopes, as well as, in particle detection through acoustic events for the COUPP/PICO detectors. Moreover, a method for obtaining the real amplitude of the signal in time (voltage) by using cross correlation has been developed and tested and is described in this work.


Acoustic signal detection Cross-correlation method Processing techniques Positioning Underwater neutrino telescopes Astroparticle detectors 



This work has been supported by the Ministerio de Economía y Competitividad (Spanish Government), project ref. FPA2012-37528-C02-02 and Multidark (CSD2009-00064). It has also being funded by Generalitat Valenciana, Prometeo/2009/26, and ACOMP/2014/153. Thanks to the ANTARES Collaboration for the help in the measurements made in the ANTARES deep-sea neutrino telescope.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  • S. Adrián-Martínez
    • 1
  • M. Bou-Cabo
    • 1
  • I. Felis
    • 1
  • C. D. Llorens
    • 1
  • J. A. Martínez-Mora
    • 1
  • M. Saldaña
    • 1
  • M. Ardid
    • 1
    Email author
  1. 1.Institut d’Investigació per a la Gestió Integrada de Zones Costaneres (IGIC)Universitat Politècnica de ValènciaGandiaSpain

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