• DocumentCode
    1398808
  • Title

    Beam-augmented STAP for joint clutter and jammer multipath mitigation

  • Author

    Seliktar, Y. ; Williams, D.B. ; Holder, E.J.

  • Author_Institution
    Northrop Grumman Norden Systs., Norwalk, CT, USA
  • Volume
    147
  • Issue
    5
  • fYear
    2000
  • fDate
    10/1/2000 12:00:00 AM
  • Firstpage
    225
  • Lastpage
    232
  • Abstract
    Combined monostatic clutter (MSC) and terrain scattered interference (TSI) pose a difficult challenge for adaptive radar processing. Mitigation techniques exist for each interference alone but are insufficient for their combined effects. Current approaches separate the problem into two stages, where TSI is suppressed first and then MSC is suppressed. However, during the initial TSI suppression stage, the MSC becomes corrupted. An innovative technique is introduced for achieving a significant improvement in cancellation performance for both MSC and TSI, even when the jammer appears in the mainbeam. The majority of the interference rejection, both TSI and MSC, is accomplished with an MSC filter, with further TSI suppression accomplished using an additional tapped reference beam. Simultaneous optimisation of the MSC filter weights and reference beam weights yields the desired processor. Performance results using Mountaintop radar data demonstrate the superiority of the proposed processor over existing processors
  • Keywords
    adaptive filters; adaptive radar; interference suppression; jamming; multipath channels; optimisation; radar clutter; space-time adaptive processing; MSC; Mountaintop radar data; TSI; adaptive radar processing; beam-augmented STAP; cancellation performance; clutter mitigation; filter weights; jammer multipath mitigation; monostatic clutter; optimisation; reference beam weights; suppression; terrain scattered interference;
  • fLanguage
    English
  • Journal_Title
    Radar, Sonar and Navigation, IEE Proceedings -
  • Publisher
    iet
  • ISSN
    1350-2395
  • Type

    jour

  • DOI
    10.1049/ip-rsn:20000490
  • Filename
    878143