• DocumentCode
    3150584
  • Title

    Diver range estimation based on shallow water cavitation

  • Author

    Lohrasbipeydeh, Hannan ; Amindavar, Hamidreza

  • Author_Institution
    Dept. of Electr. Eng., Amirkabir Univ. of Technol., Tehran, Iran
  • fYear
    2012
  • fDate
    25-30 March 2012
  • Firstpage
    1673
  • Lastpage
    1676
  • Abstract
    There are many underwater passive algorithms used to determine the range of a target like a diver, using its acoustic signals which are radiated through underwater environment. In this paper, we introduce a new underwater diver range estimation algorithm based on shallow water cavitation. Through this algorithm we apply diver´s bubble oscillation frequency and ocean surface bubble´s behaviour as two new carrier frequencies for our proposed method. Then, we utilize a dual frequency technique with the above new carrier frequencies, due to its robustness to shallow water noise, in time-frequency domain, yields to a new passive range estimation algorithm. We demonstrate through real data simulations that this algorithm is suitable for passive diver range estimation in shallow water environment. We used SWeIIEx-96 experiment data to compare our simulation result.
  • Keywords
    acoustic noise; acoustic signal processing; estimation theory; time-frequency analysis; SWeIIEx-96 experiment data; acoustic signals; carrier frequency; data simulations; diver bubble oscillation frequency; dual frequency technique; ocean surface bubble behaviour; passive diver range estimation; passive range estimation algorithm; shallow water cavitation; shallow water environment; shallow water noise; time-frequency domain; underwater diver range estimation algorithm; underwater passive algorithms; Acoustics; Estimation; Frequency estimation; Sea surface; Signal processing algorithms; Time frequency analysis; Diver Range Estimation; Dual Frequency; Shallow Water Cavitation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on
  • Conference_Location
    Kyoto
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4673-0045-2
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2012.6288218
  • Filename
    6288218