• DocumentCode
    1781386
  • Title

    Predicting the array gain of partially coherent planar HF arrays

  • Author

    Harms, Andrew ; Hickman, Granger ; Papazoglou, Michael ; Krolik, Jeffrey

  • Author_Institution
    STRAD Corp., Chapel Hill, NC, USA
  • fYear
    2014
  • fDate
    19-23 May 2014
  • Firstpage
    1456
  • Lastpage
    1459
  • Abstract
    This paper concerns estimating the partially coherent signal gain of a large, fully-populated planar HF phasedarray using simulated data from a few widely distributed receive elements. Our approach involves estimating magnitude-squared coherence between sensor elements in order to estimate parameters of a 2-D exponential model for signal decoherence, which, in turn, is used to predict array gain. Via cross-validation, this approach is shown to correctly predict the array gain observed in simulated data using well-established models for ionospheric perturbations. Finally, it is used to predict the signal gains achievable for large fully-populated planar HF arrays.
  • Keywords
    array signal processing; estimation theory; parameter estimation; 2D exponential model; distributed receive element; fully-populated planar HF phased-array; ionospheric perturbation; magnitude-squared coherence estimation; parameter estimation; partially coherent array signal gain estimation; partially coherent planar HF array; sensor element; signal decoherence; Approximation methods; Arrays; Coherence; Gain; Hafnium; Manganese; Signal to noise ratio;
  • 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.2014.6875830
  • Filename
    6875830