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Identifying low-RCS targets using micro-Doppler high-resolution radar in the millimeter waves

In recent years, the use of drones and unmanned aerial vehicles (UAV) have become popular. Due to the cheap cost and ability to control an unskilled user, delinquent and terrorist agents use these measures to harm the routine of life. Sufficient technology need for detecting and tracking drones in the airspace. The use of existing aircraft detection systems is not possible due to the physical differences between the targets, smaller physical size, lower speed, and lower flight altitude relative to approved aircraft. This paper introduces the Characteristics of the unique micro-Doppler signature of drones. After analyzing the radar signal, one can deduce the speed and frequency of the propeller and from these find the length of the drone blade. The measurements were made using the CW radar operating in the W band at frequency 94 GHz. The results clearly show that a unique drone Doppler signature can be identified, and the geometric properties of the drone can be extracted and categorized accordingly.