The study described herein focuses on the automatic detection of drones utilizing micro Doppler effects. Drones are often employed for both military and commercial applications. As a result of their small size, reasonable flight speed, and low flying altitude, they are difficult to spot. Because of the increasing density of drone deployment in the near future, a comprehensive detection and monitoring system is essential for safety. Preliminary analytical study has been conducted in this regard to examine the micro Doppler signature of drones caused by their rotating blades. Following that, such micro Doppler effects were investigated for possible target detection. In this context, rotational blades are presumed to have flat, rectangular point scatter reflections. The relevant signal model was then created by integrating geometrical and analytical functions. In fact, Chen's model was used as the basis and was updated for multi-rotor, multi-target scenarios. Finally, for target detection, a detection algorithm based on the Doppler filter has been constructed. As a result, the findings can be seen below.