• DocumentCode
    583086
  • Title

    Ground Target Filtering Method Based on Doppler Features

  • Author

    Han, Wei ; Tang, Ziyue ; Zhu, Zhenbo

  • Author_Institution
    Dept. of Air/Space-based Early-warning & Surveillance Equip., Air Force Radar Acad., Wuhan, China
  • fYear
    2012
  • fDate
    27-29 Oct. 2012
  • Firstpage
    482
  • Lastpage
    489
  • Abstract
    The ground target filtering is an important part of track optimization of airborne early warning radar. It can improve target track quality effectively. Aiming at ground target filtering problem, a ground target and air target identification method based on Doppler feature was proposed. First, on the basis of traffic modeling and simulation, the Doppler feature of freeway target echo signals in the presence of ground clutter was analyzed, and then a classification rule based on differences of Doppler feature between ground targets and air targets was designed. The simulation results show that the classification rule has high identification probability of ground targets and high identification probability of air targets. Accordingly, the method can filter most of freeway targets effectively.
  • Keywords
    airborne radar; filtering theory; radar clutter; radar cross-sections; Doppler features; air target identification; air targets; airborne early warning radar; classification rule; freeway target echo signals; freeway targets; ground clutter; ground target filtering problem; ground target identification; ground targets; high identification probability; target track quality; track optimization; traffic modeling; traffic simulation; Atmospheric modeling; Clutter; Doppler effect; Radar tracking; Traffic control; Vehicles; Doppler feature; classification rule; ground target filtering; target identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Information Technology (CIT), 2012 IEEE 12th International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4673-4873-7
  • Type

    conf

  • DOI
    10.1109/CIT.2012.107
  • Filename
    6391946