• DocumentCode
    714934
  • Title

    Electromagnetic vs. plane wave models for superdirective 2D adaptive HF receive antenna performance assessment

  • Author

    San Antonio, Geoffrey ; Abramovich, Yuri I. ; Frazer, Gordon J. ; Williams, Charles

  • Author_Institution
    US Naval Res. Lab., Washington, DC, USA
  • fYear
    2015
  • fDate
    10-15 May 2015
  • Firstpage
    1093
  • Lastpage
    1098
  • Abstract
    This paper demonstrated how a 2D planar oversampled HF receive array manifold can be modeled by NEC and utilized to asses the performance of conventional and optimal beamforming techniques. It is shown that the full EM array model behaves similar to a planewave manifold model in the presence of strong non-isotropic external noise. Furthermore it is demonstrated that the optimal beamformer solutions computed with a manifold not calibrated to the true EM manifold will exhibit some amount of mismatch loss in directions of strong external noise. In a subsequent full paper, we will comment further on the robustness of the EM model antenna manifold predication to small model perturbations (i.e. changes in ground conditions, element errors, etc.) and on the efficiency of a number antenna calibration techniques that can be used to avoid the SENR losses associated with antenna manifold mismatch.
  • Keywords
    adaptive antenna arrays; array signal processing; calibration; receiving antennas; 2D planar oversampled HF receive array manifo; NEC; antenna manifold predication; conventional beamforming techniques; electromagnetic wave models; element errors; full EM array model; ground conditions; non-isotropic external noise; number antenna calibration techniques; optimal beamforming techniques; plane wave models; superdirective 2D adaptive HF receive antenna performance assessment; Adaptation models; Analytical models; Antenna arrays; Computational modeling; Manifolds; Noise; Numerical models; 2D Arrays; HF OTHR; electromagnetic model; superdirectivity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Conference (RadarCon), 2015 IEEE
  • Conference_Location
    Arlington, VA
  • Print_ISBN
    978-1-4799-8231-8
  • Type

    conf

  • DOI
    10.1109/RADAR.2015.7131157
  • Filename
    7131157