Target detection for UWB radars using the standard deviation

UWB radars operating at 3.1 GHz-10.6 GHz are used for detecting the targets under clutter environment. Since UWB radars deal with various clutters, it is somewhat difficult to discriminate the target accurately. By reflecting the standard deviation of power spectrum, and the improvement factor using moving speed of the radar and antenna angle, target detection is performed by removing multiple clutters. In this paper, we apply digital signal processing to analyze performance of the proposed detection method based on standard deviation. The proposed algorithm shows successful detection of car and person.