• DocumentCode
    3396506
  • Title

    Reverse-Time Tracking to Enhance Passive Sonar

  • Author

    Mellema, Garfield R.

  • Author_Institution
    Defence R&D Canada-Atlantic, Dartmouth, NS
  • fYear
    2006
  • fDate
    10-13 July 2006
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Passive sonar depends on signals of opportunity to detect, track and localize targets. These signals are typically detected and then tracked using Kalman filter-type signal followers. Target motion analysis (TMA) is then used to estimate the target´s range and, from this, its position, course and speed. The accuracy of TMA is strongly dependent on the duration of the available track. Initiating a second tracker in reverse time at the time of detection can reduce or eliminate the delay between target detection and localization. A detection and tracking system for a passive sonar using a towed array receiver is described and an example of reverse-time tracking using real data is provided. Reverse-time tracking is able to significantly increase the amount of track data that can be extracted from already available data, highlighting the need for improved data fusion. Potential improvements to this enhanced system through track association are discussed
  • Keywords
    Kalman filters; sensor fusion; sonar detection; sonar signal processing; sonar tracking; target tracking; Kalman filter-type signal follower; TMA; array receiver; data fusion; passive sonar enhancement; range estimation; reverse-time tracking; signal detection; target localization; target motion analysis; Acoustic signal detection; Costs; Data mining; Frequency; Kalman filters; Motion analysis; Signal detection; Signal processing; Sonar detection; Target tracking; Detection; localization; passive sonar; retrodiction; reverse-time tracking; sonar; towed array; track association; track fusion; tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Fusion, 2006 9th International Conference on
  • Conference_Location
    Florence
  • Print_ISBN
    1-4244-0953-5
  • Electronic_ISBN
    0-9721844-6-5
  • Type

    conf

  • DOI
    10.1109/ICIF.2006.301720
  • Filename
    4086006