Maximum a posteriori CFAR for weibull clutter

Weibull clutter 에 대한 최대사후확률 일정오경보수신기

  • Yu, Kung-T. (Dept. of Electrical Engineering, Seoul National University) ;
  • Seo, Jin-H. (Dept. of Electrical Engineering, Seoul National University)
  • 유경탁 (서울대 공과대학원 전기공학과) ;
  • 서진헌 (서울대 공과대학원 전기공학과)
  • Published : 1995.11.18

Abstract

A CFAR algorithm for weibull clutter is discussed. The Maximum a posteriori(MAP) estimator for two parameters(skewness and scale) of the weibull clutter is proposed, assuming the probability density function of skewness parameter is known. And proposed MAP estimator is compared with the Maximum likelihood(ML) estimator. Using this MAP estimator, we can design CFAR detector which is shown to have smaller CFAR loss than ML CFAR detector by the statistical simulation method.

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