• DocumentCode
    3423360
  • Title

    Statistical description of monopulse parameters for tracking Rayleigh targets

  • Author

    Blair, W.D. ; Brandt-Pearce, M.

  • Author_Institution
    Naval Surface Warfare Center, Dahlgren, VA, USA
  • fYear
    1997
  • fDate
    9-11 Mar 1997
  • Firstpage
    128
  • Lastpage
    132
  • Abstract
    Using the amplitude conditioned probability density function (PDF) for monopulse radar measurements, the Cramer-Rao lower bound (CRLB) is developed for any unbiased estimator of the direction of arrival (DOA). Maximum likelihood (ML) and method of moments (MM) estimators of the DOA are developed along with estimates of the variances associated with the monopulse ratios and DOA estimate. The case of an unknown target amplitude is addressed by using the ML estimate of the target amplitude parameter formed from the sum signal. Using simulation results, the performances of the ML and MM estimators of the DOA are compared with the standard monopulse ratio and the performance of the variance estimators is studied
  • Keywords
    Kalman filters; amplitude estimation; direction-of-arrival estimation; maximum likelihood estimation; method of moments; probability; radar tracking; target tracking; tracking filters; Cramer-Rao lower bound; DOA estimation; Rayleigh target tracking; amplitude conditioned probability density function; direction of arrival estimation; maximum likelihood estimation; method of moments estimator; monopulse radar parameters; monopulse ratios; statistical description; sum signal; target amplitude parameter; unbiased estimator; unknown target amplitude; variance estimators; Amplitude estimation; Direction of arrival estimation; Maximum likelihood estimation; Moment methods; Probability; Radar tracking; Sensor systems; Servomechanisms; Statistics; Target tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Theory, 1997., Proceedings of the Twenty-Ninth Southeastern Symposium on
  • Conference_Location
    Cookeville, TN
  • ISSN
    0094-2898
  • Print_ISBN
    0-8186-7873-9
  • Type

    conf

  • DOI
    10.1109/SSST.1997.581592
  • Filename
    581592