A Statistical Clutter Suppression Method Based on Given Target-Existence Probabilities for High Resolution UWB Radars

High-resolution radars (HRR) using ultra wideband (UWB) signals is a promising system for various detection and ranging applications. The radar resolution increases as a decrease of the pulse width, then radar echoes including background unwanted ones become spiky. Various modifications of constant false alarm rate (CFAR) and matched filters have been proposed to reduce false alarm induced by unwanted radar echos (clutter), but the target shape information diminishes due to exploitations based on range-bin processing. In this paper, a method of suppressing clutter with the reception power conversion is proposed. Novel categories of reflection objects with their existence probabilities are introduced and the characteristic function method is used for efficiently obtaining the power conversion table on a computer. Keywords—UWB radar, HRR (high-resolution radar), radar clutter, power conversion, target-existence probability