• DocumentCode
    2286856
  • Title

    Hybrid Detector for Ship Radiated Signal in Statistically Varying Underwater Noise

  • Author

    Singh, Abhishek ; Kumar, Arun ; Agrawal, Monika ; Bahl, Rajendar

  • Author_Institution
    Indian Inst. of Technol., New Delhi
  • fYear
    2007
  • fDate
    16-19 May 2007
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    The problem of passive detection of ship radiated signals has been investigated for many years. A primary lacuna in most detectors is that they are optimal for a specific signal and noise environment, which deviates significantly from the practical signal and noise encountered in the ocean medium. Furthermore, underwater signal and noise statistics varies significantly over time and space, thereby deteriorating the performance of the detectors that are tuned to be optimal for a particular signal and noise assumption. Therefore, a single detector does not seem sufficient in detecting the signal in this statistically varying environment. Here, we consider several detectors that are individually optimal in a given scenario, and then combine these individual optimal detectors to formulate a hybrid detector that performs reasonably well for a large range of noise statistics. Simulation results show that the hybrid detector performs better than its constituent detectors.
  • Keywords
    acoustic noise; array signal processing; electrical engineering computing; sensor arrays; sonar arrays; sonar detection; sonar signal processing; statistics; underwater sound; hybrid detector simulation; noise statistics; passive underwater acoustic signal detection; ship radiated signal hybrid detector; statistically varying underwater noise; underwater acoustic detector performance; Acoustic signal detection; Artificial neural networks; Detectors; Gaussian noise; Marine vehicles; Oceans; Sonar detection; Statistics; Underwater tracking; Working environment noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    OCEANS 2006 - Asia Pacific
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-0138-3
  • Electronic_ISBN
    978-1-4244-0138-3
  • Type

    conf

  • DOI
    10.1109/OCEANSAP.2006.4393866
  • Filename
    4393866