• DocumentCode
    2305943
  • Title

    Passive multipath ranging in sonars using auto-correlation processing

  • Author

    Pawar, Sunetra ; Subbaraman, Shaila

  • Author_Institution
    Dept. of Electron. Eng., Singhgad Coll. of Eng., Pune
  • fYear
    2007
  • fDate
    9-11 Aug. 2007
  • Firstpage
    491
  • Lastpage
    496
  • Abstract
    Passive sonar systems are used by submarines to detect the bearing (direction) and the range (distance) of the enemy target without passing on any indication about the submarines on which they are installed. In conventional passive sonar systems, the target is detected by listening to the underwater acoustic signals. Though these systems detect the bearing accurately, they suffer from the drawback of involved and time consuming computations. A method of auto-correlation processing of the underwater acoustic signals as recommended by W.S. Burdic [1] offers a solution to detect the range accurately and speedily. The concept behind this method, the details of the microcontroller based embedded proto model that was developed to prove the concept and the results thereof are presented in this paper.
  • Keywords
    correlation methods; marine vehicles; microcontrollers; sonar detection; sonar signal processing; sonar target recognition; underwater acoustic communication; underwater sound; autocorrelation processing; microcontroller-based embedded proto model; passive sonar system multipath ranging; sonar target detection; submarine bearing detection; underwater acoustic signal; Acoustic signal detection; Autocorrelation; Educational institutions; Industrial electronics; Information systems; Sea surface; Sonar detection; Surface acoustic waves; Underwater acoustics; Underwater vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial and Information Systems, 2007. ICIIS 2007. International Conference on
  • Conference_Location
    Penadeniya
  • Print_ISBN
    978-1-4244-1151-1
  • Electronic_ISBN
    978-1-4244-1152-8
  • Type

    conf

  • DOI
    10.1109/ICIINFS.2007.4579227
  • Filename
    4579227