• DocumentCode
    2491679
  • Title

    Approximating non-linear parameter estimators

  • Author

    Ray, Gary A.

  • Author_Institution
    Boeing Defense & Space., Seattle, WA, USA
  • fYear
    1994
  • fDate
    2-5 Oct 1994
  • Firstpage
    169
  • Lastpage
    172
  • Abstract
    Many signal processing problems are inherently parameter estimation problems. Such estimators are seldom easy to analytically determine and even if they are found, can be very complicated to compute. The author presents a method to approximate the estimator by a general, easily-computable family of functions. This technique is applied to a multipath height-finding problem in radar
  • Keywords
    function approximation; interpolation; iterative methods; least squares approximations; parameter estimation; radar altimetry; radar signal processing; signal processing; multipath height-finding problem; nonlinear parameter estimators; radar; signal processing; Computer networks; Fourier transforms; Interpolation; Kernel; Maximum likelihood estimation; Parameter estimation; Radar signal processing; Random variables; Signal processing; Spline;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Signal Processing Workshop, 1994., 1994 Sixth IEEE
  • Conference_Location
    Yosemite National Park, CA
  • Print_ISBN
    0-7803-1948-6
  • Type

    conf

  • DOI
    10.1109/DSP.1994.379848
  • Filename
    379848