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A novel prescreening method for UWB SAR target detection using adaptive nonlinear filters

It is difficult for UWB SAR target detection because of a lot of impulsive or spiky clutter caused by strong trunks. A novel prescreening method based on adaptive nonlinear filters is proposed in this paper, which filters the unwanted impulsive or spiky noise to decrease the False Alarm Rate (FAR) in Constant False Alarm Rate (CFAR) detection. The results with the practical UWB SAR data validate the efficiency of the novel method. Keywords-UWB SAR; FOPEN; adaptive nonlinear filte; CFAR detection