• DocumentCode
    3272133
  • Title

    Comparison of bistatic clutter mitigation algorithms for varying geometries

  • Author

    Melvin, William L. ; Callahan, Michael J. ; Davis, Mark E.

  • Author_Institution
    Georgia Tech. Res. Inst., Atlanta, GA, USA
  • fYear
    2005
  • fDate
    9-12 May 2005
  • Firstpage
    98
  • Lastpage
    103
  • Abstract
    Airborne bistatic radar systems require effective techniques to mitigate the impact of ground clutter returns on detection performance. Bistatic clutter generally appears more severe than in monostatic systems owing to increased two-way antenna gain over a broad set of angles and greater clutter spectral variation over range. Adaptive filtering seems like a natural response to combat both of these effects. However, the consequent clutter non-stationarity - variation of clutter angle-Doppler response with range presents difficulty when implementing the adaptive filter, since such an effect leads to errors in the require site clutter covariance matrix estimate. Approaches for coping with clutter non-stationarity are central to effective bistatic space-time adaptive processing (STAP) techniques. In this paper we consider the impact of sensor geometry on the performance of several recently proposed bistatic STAP techniques. Our findings suggest best performance for those methods providing pre-STAP compensation of the data in both angle and Doppler.
  • Keywords
    Doppler radar; adaptive filters; covariance matrices; radar antennas; radar clutter; radar detection; radar signal processing; space-time adaptive processing; STAP; adaptive filtering; airborne bistatic radar systems; bistatic clutter mitigation algorithms; clutter angle-Doppler response; clutter spectral variation; detection performance; ground clutter; monostatic systems; requiresite clutter covariance matrix estimate; two-way antenna gain; varying geometries; Adaptive filters; Bistatic radar; Clutter; Covariance matrix; Degradation; Geometry; Laboratories; Radar detection; Signal to noise ratio; Training data;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Conference, 2005 IEEE International
  • Print_ISBN
    0-7803-8881-X
  • Type

    conf

  • DOI
    10.1109/RADAR.2005.1435801
  • Filename
    1435801