• DocumentCode
    2064139
  • Title

    The performance of time reversal passive detection over underwater multi-path channel

  • Author

    Fu-zhou, Yang ; Hai-yan, Wang ; Xiao-hong, Shen ; Wan-zheng, Ning

  • Author_Institution
    Coll. of Marine Eng., Northwest Polytech. Univ., Xi´´an, China
  • fYear
    2011
  • fDate
    14-16 Sept. 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Present a mathematical study of time reversal passive performance over multi-path channel as signal propagation underwater. The study starts with statistical theory due to signal detection, followed by basic dualism hypothesis and the performance of underwater multi-path propagation through passive time reversal is derived. Under a constant false-alarm probability, the relations between detect probability and different signal-to-noise ratio as well as several multi-path amount are deduced in details. The conclusions include two points: performance becomes better as signal-to-noise ratio increasing that can be expected; meanwhile multi-path amount plays the same role as signal-to-noise ratio, the more multi-path amount the better performance. Time-frequency signal detection method based on passive time reversal is simulated simultaneously. The result shows that time reversal is able to self-adaptively modify signal distortion account for multi-path channel, especially for low signal-to-noise ratio such as that bellows zero.
  • Keywords
    multipath channels; probability; signal detection; sonar signal processing; underwater acoustic propagation; dualism hypothesis; false-alarm probability; low signal-to-noise ratio; signal detection; statistical theory; time reversal passive detection; underwater multi-path channel; underwater signal propagation; Probability; Signal detection; Signal to noise ratio; Sonar equipment; Time frequency analysis; Transducers; multi-path channel; passive time reversal; signal-to-noise ratio; statistical theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, Communications and Computing (ICSPCC), 2011 IEEE International Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4577-0893-0
  • Type

    conf

  • DOI
    10.1109/ICSPCC.2011.6061592
  • Filename
    6061592