Localization of sound sources with dual acoustic vector sensor - Publikacja - MOST Wiedzy


Localization of sound sources with dual acoustic vector sensor


The aim of the work is to estimate the position of sound sources. The proposed method uses a setup of two acoustic vector sensors (AVS). The intersection of azimuth rays from each AVS should indicate the position of a source. In practice, the result of position estimation using this method is an area rather than a point. This is a result of inaccuracy of the individual sensors, but more importantly, of the influence of a source size. The proposed method was validated in experiments performed in an anechoic room, using a custom-made setup of two sensors built from digital MEMS microphones, for sound source placed at varying distance and angle from the sensors. The paper discusses the observed variations in the measured angle and distance to the source. The obtained results indicate that the proposed method allows for estimation of the source position with satisfactory accuracy. Errors in the position estimation depend on the source size, the distance to the source and the source angle relative to the sensors. Possible application of the proposed method is estimation of the position of moving sound sources, such as road vehicles.


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Copyright (2019 IEEE)

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publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
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Opis bibliograficzny:
Kotus J., Szwoch G.: Localization of sound sources with dual acoustic vector sensor// / : , 2019,
Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.23919/spa.2019.8936724
Bibliografia: test
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  3. F. Jacobsen, "Sound Intensity and its Measurement and Applications," Acoustic Technology, Department of Electrical Engineering Technical University of Denmark, 2011.
  4. H. E. de Bree, "The Microflown: an acoustic particle velocity sensor," Acoust. Aust. 31, pp. 91-94, 2003.
  5. F. Jacobsen, H-E de Bree, "A comparison of two different sound intensity measurement principles," J. Acoust. Soc. Am. 118 (3), pp. 1510-1517, 2015. otwiera się w nowej karcie
  6. J. Kotus, "Application of passive acoustic radar to automatic localization tracking and classification of sound sources", Information Technologies 18, pp. 111-116, 2010. otwiera się w nowej karcie
  7. J. Kotus, "Multiple sound sources localization in free field using acoustic vector sensor," Multimedia Tools and Applications 74 (12), pp. 4235-4251, 2015. otwiera się w nowej karcie
  8. K. Lopatka, J. Kotus, and A. Czyżewski, "Detection classification and localization of acoustic events in the presence of background noise for acoustic surveillance of hazardous situations," Multimedia Tools and Applications 75, pp. 1-33, 2015. otwiera się w nowej karcie
  9. J. Kotus, "Determination of the vehicles speed using acoustic vector sensor," Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA), Poznan, 2018, pp. 64-69, 2018. otwiera się w nowej karcie
  10. J. Kotus, A. Czyżewski, and B. Kostek, "3D acoustic field intensity probe design and measurements," Archives of Acoustics 41, pp. 701- 711, 2016 otwiera się w nowej karcie
  11. G. Szwoch, and J. Kotus, "Detection of the incoming sound direction employing MEMS microphones and the DSP," In: Dziech A., Czyżewski A. (eds) Multimedia Communications, Services and Security. MCSS 2017. Communications in Computer and Information Science, vol 785, pp. 186-198, Springer 2017. otwiera się w nowej karcie
  12. J. Kotus, and G. Szwoch, "Calibration of acoustic vector sensor based on MEMS microphones for DOA estimation," Applied Acoustics 141, pp. 307-321, 2018. otwiera się w nowej karcie
  13. J. Yin, C. Xiong, and W. Wang, "Acoustic localization for a moving source based on cross array azimuth," Appl. Sci. 2018, 8, 1281, 2018. otwiera się w nowej karcie
Źródła finansowania:
Politechnika Gdańska

wyświetlono 41 razy

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