Title :
Optimality of the cell averaging CFAR detector
Author :
Gandhi, P.P. ; Kassam, S.A.
Author_Institution :
Dept. of Electr. & Comput. Eng., Villanova Univ., PA, USA
fDate :
7/1/1994 12:00:00 AM
Abstract :
The cell averaging constant false alarm rate detector has been assumed to be optimal for detecting Swerling I targets embedded in exponential clutter and noise of unknown power. This is because the detector uses a minimum variance unbiased estimate (which is also a maximum likelihood estimate) of the unknown clutter-plus-noise power to set the threshold. The authors prove, using a result concerning least favorable distributions in composite hypotheses testing, that the cell averaging detector is indeed optimal in that it is a uniformly most powerful detector
Keywords :
maximum likelihood estimation; optimisation; parameter estimation; receivers; signal detection; testing; Swerling I targets; cell averaging CFAR detector; composite hypotheses testing; constant false alarm rate detector; exponential clutter; least favorable distributions; maximum likelihood estimate; minimum variance unbiased estimate; noise; Detectors; Probability density function; Signal to noise ratio; Statistical distributions; Testing;
Journal_Title :
Information Theory, IEEE Transactions on