Acoustic Signal Detection Through the Cross-Correlation Method in Experiments with Different Signal to Noise Ratio and Reverberation Conditions
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.
KeywordsAcoustic 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.
- 1.Ageron, M., et al. (ANTARES Collaboration): ANTARES: the first undersea neutrino telescope. Nucl. Instr. Meth. A 656, 11–38 (2011)Google Scholar
- 2.The KM3NeT Collaboration: KM3NeT technical design report (2010). ISBN 978-90-6488-033-9. www.km3net.org
- 3.Behnke, E., et al. (COUPP Collaboration): First dark matter search results from a 4-kg CF3I bubble chamber operated in a deep underground site. Phys. Rev. D 86, 052001 (2012)Google Scholar
- 6.Ardid, M.: ANTARES: an underwater network of sensors for neutrino astronomy and deep-sea research. Ad Hoc Sensor Wirel. Netw. 8, 21–34 (2009)Google Scholar
- 7.Bou-Cabo, M., Ardid, M., Felis, I.: Acoustic studies for alpha background rejection in dark matter bubble chamber detectors. In: Proceedings of the IV International Workshop in Low Radioactivity Techniques. AIP Conference Proceedings, vol. 1549, pp. 142–147 (2013)Google Scholar
- 8.Proakis, J.G., Manolakis, D.G.: Digital Signal Processing, 3rd edn. Prentice Hall, Upper Saddle River (1996)Google Scholar
- 9.Saldaña, M.: Acoustic system development for the underwater neutrino telescope positioning KM3NeT, Bienal de Física (2013)Google Scholar
- 11.Felis, I., Bou-Cabo, M., Ardid, M.: Sistemas acústicos para la detección de Materia Oscura, Bienal de Física (2013)Google Scholar
- 13.Graf, K.: Experimental studies within ANTARES towards acoustic detection of ultra high energy neutrinos in the deep sea. Ph.D. thesis, U. Erlangen, FAU-PI1-DISS-08-001 (2008)Google Scholar