• DocumentCode
    2122513
  • Title

    Variability of channel response and acoustic system performance: Simulation study

  • Author

    Ismail, A. ; Qiao Gang ; Khan, Raees ; Kabir, J. ; Pasha, B. ; Masood, A. ; Malik, Anuj ; Khan, Ajmal

  • Author_Institution
    Coll. of underwater Acoust. Eng., Harbin Eng. Univ., Harbin, China
  • fYear
    2013
  • fDate
    15-19 Jan. 2013
  • Firstpage
    312
  • Lastpage
    320
  • Abstract
    Simulating realistic sonar data is essential for tuning detection and classification algorithms in active and passive sonar signal processing according to environment and acquisition characteristics. Robustness of performances estimation and prediction applications can be greatly enhanced if the real ocean environments can be placed as input data to the simulation. The Ocean environment presents a difficult channel for acoustic propagation because of its frequency dependent large and small-scale fading, signal spreading in time and frequency, and extended multipath. Its characteristics vary from place to place and with time over scales ranging from seconds to years. Any system that uses Acoustics in its operation is affected by this channel variability. System performance and availability for every condition of the channel thus requires that these should be evaluated and incorporated. In the present work data for the channel in terms of its bathymetry, SSP and sea surface winds have been taken for the year 2011 and the channel response on monthly averages have been calculated. Performance of a passive acoustic system has been evaluated by simulation on these and predictions of the system performance have been obtained for the full year. In this way system level design can be optimized for the prevailing channel conditions.
  • Keywords
    radar signal processing; signal classification; sonar; acoustic system; active sonar signal processing; channel response; channel variability; classification algorithms; ocean environments; passive sonar signal processing; sonar data; tuning detection; Acoustics; Arrays; Predictive models; Robustness; Sediments; Time-frequency analysis; acoustic propagation estimation; channel models; multi-path; sonar simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applied Sciences and Technology (IBCAST), 2013 10th International Bhurban Conference on
  • Conference_Location
    Islamabad
  • Print_ISBN
    978-1-4673-4425-8
  • Type

    conf

  • DOI
    10.1109/IBCAST.2013.6512171
  • Filename
    6512171