On the performance of non-coherent CFAR detectors in sea-clutter: A comparison study
Abstract
In radar systems, detection performance depends on assumed target and clutter statistical distributions. The probability of detection is shown to be sensitive to the degree of estimation accuracy of clutter levels. In this work, the performances of non-coherent logt-CFAR, zlog(z)-CFAR and Bayesian-CFAR detectors are investigated using both simulated and real data. Three clutter disturbances are considered named log-normal, Weibull and Pareto type II. Based on simulated data, existing CFAR algorithms provide fully CFAR decision rules. From IPIX real data, the dependence of the false alarm probability associated to each detector is studied. With different range resolutions, it is shown that the Bayesian-CFAR algorithm exhibits a small deviation of the false alarm probability.
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