• DocumentCode
    1780952
  • Title

    Multistage algorithms for extended dwell target detection

  • Author

    Paulus, Audrey S. ; Melvin, William L. ; Williams, Douglas B.

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
  • fYear
    2014
  • fDate
    19-23 May 2014
  • Abstract
    Improvements in detecting weak targets from a small radar platform must come through increased temporal integration, i.e., extending the time over which target samples are coherently integrated. Conventional single-channel radar assumes a linear-phase signal model that is only accurate over a short dwell time for typical target motion. Over an extended dwell, the target signal includes multiple nonlinear phase components, each of whose effects become significant at different times during the dwell. An algorithm is presented that develops a multiphase signal model in multiple stages based on these times. A modification of the proposed approach improves the signal model for the most challenging targets. When used as the detection filter, the multiphase signal model yields near optimal performance over an extended dwell time for a wide range of target parameters. Typical improvement in output signal-to-noise ratio (SNR) for a 500 ms dwell is 12-13 dB over conventional processing.
  • Keywords
    filtering theory; object detection; radar signal processing; signal detection; detection filter; extended dwell target detection; extended dwell time; linear-phase signal model; multiphase signal model; multiple nonlinear phase components; multistage algorithms; output signal-to-noise ratio; single-channel radar; temporal integration; weak target detection; Algorithm design and analysis; Dictionaries; Doppler effect; Mathematical model; Radar; Signal to noise ratio; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Conference, 2014 IEEE
  • Conference_Location
    Cincinnati, OH
  • Print_ISBN
    978-1-4799-2034-1
  • Type

    conf

  • DOI
    10.1109/RADAR.2014.6875597
  • Filename
    6875597