Advertisement

A Fast Estimation Method for 3-D Acoustic Source Localization

  • Jin Chen
  • Kaikai Li
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 463)

Abstract

This paper discusses a type of 3-dimentional rapid sound source location method, which can be widely used in underwater or air environment, such as oil and gas exploration, fish characteristics research, remote conferencing and other fields. Delay-and-sum and Fast Direction of Arrival algorithm are discussed for narrowband signal processing. Sound source positioning only need to calculate and display the power intensity of each different angle of incidence, without the need to extract the specific incident signal, so we can directly apply FDOA algorithm. Since the center frequency of the sound signal is much lower than that of radio waves, laser and other signal carriers, the boundary conditions of the narrowband signal are often not satisfied in the actual workplace. Meanwhile, the system only needs the data characteristics of a certain frequency band in most applications. Therefore, this paper studies a fast beamforming and display method for specifying the frequency band and wave velocity, and verifies the validity of the relevant method with the delay-and-sum beamformer.

Keywords

Sound source location Beamforming Delay-and-sum algorithm 

Notes

Acknowledgements

This work was supported in part by Tianjin Edge Technology and Applied Basic Research Project (14JCYBJC15800) in China, in part by Tianjin Normal University Doctoral Foundation (52XB1603) and Tianjin Normal University Application Development Foundation (52XK1601) in China.

References

  1. 1.
    Baxter, P.D., McWhirter, J.G.: Blind signal separation of convolutive mixtures. In: Proceedings of 37th Asilomar Conference on Signals, System and Computers, pp. 124–128, November 2003Google Scholar
  2. 2.
    Soydan, R., Stephan, W., McWhirter, J.G.: Relevance of polynomial matrix decompositions to broadband blind signal separation. Sig. Process. 134, 76–86 (2017)Google Scholar
  3. 3.
    Kajala, M., Hamalainen, M.: Filter-and-sum beamformer with adjustable filter characteristics. In: 1988 Acoustics, Speech, and Signal Processing, ICASSP 1988, February 2001Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Tianjin Key Laboratory of Wireless Mobile Communications and Power TransmissionTianjin Normal UniversityTianjinChina

Personalised recommendations