• DocumentCode
    2772478
  • Title

    Broadband Active Sonar Swimmer Detection and Identification

  • Author

    Jung, Jae-Byung ; Denny, Gerald F. ; Tilley, James W. ; Kulinchenko, Alex B. ; Simpson, Patrick K.

  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    2600
  • Lastpage
    2605
  • Abstract
    This paper proposes a viable solution to the port security swimmer detection/identification problem using a broadband active sonar system with TCP/IP interface. Broadband active sonar, characterized by compressed pulse and wide-ranging spectral features, offers the ability to locate an underwater target accurately and classify it as a swimmer (diver) apart from fish or marine mammals, thus considerably reducing the false alarm rate compared with existing energy-based detection systems. Coupled with tracking algorithms, the fusion output detector can further reduce false alarms, allowing high-probability automatic alerts to security forces that can´t continuously and consistently monitor this sector. Applications of conventional back-propagation algorithms or probabilistic neural networks in cooperation with track-based averaging technique show promising performance to this real-world classification problem. Several testing efforts conducted in both Alaska and Washington state waters have demonstrated the applicability of the technology and highlighted aspects of deployment around facilities such as ferry terminals and cruise ship docks for homeland security.
  • Keywords
    backpropagation; marine systems; neural nets; object detection; security; sonar detection; TCP/IP interface; back-propagation algorithms; broadband active sonar swimmer detection; cruise ship docks; ferry terminals; high-probability automatic alerts; homeland security; port security swimmer detection; probabilistic neural networks; Computerized monitoring; Detectors; Marine animals; Neural networks; Pulse compression methods; Security; Sonar detection; TCPIP; Target tracking; Underwater tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2006. IJCNN '06. International Joint Conference on
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    0-7803-9490-9
  • Type

    conf

  • DOI
    10.1109/IJCNN.2006.247137
  • Filename
    1716447