Forward and Backward Automatic Censoring Binary integration detectors using Weber-Haykin thresholding

In non homogeneous environments, the non stationary clutter statistics in which the radar operates and the number of interferences that may be present in the reference window, are unknown a priori. In such a case, the use of automatic censoring techniques becomes an essential task. In this paper, we develop the Forward and Backward Automatic Censoring Binary non-Coherent Integration Constant False Censoring and Alarm Rates Detectors based upon the Weber-Haykin adaptive thresholding (WH-based F/B-ACBID-CFCAR). For a Weibull background. We show, through Monte-Carlo simulations, that both censoring and detection performances of these detectors, outperform those of the corresponding one-pulse detectors.