<p>Today’s aerial vehicular technology is bringing us unexpected hazards, mostly small unmanned aerial vehicles (sUAVs) such as, RC planes, mini-helicopters, drones, and spy birds etc. Taking national security in consideration this research provides a novel radar signal processing technique for measuring target parameters’ automatically. The integration of microwave and photonics enhances the radar detection capability because of its ultra-wide bandwidth. A series of open-field tests incorporating the operation of three separate sUAV targets were carried out to prove our method using indigenously developed X-band CW photonics radar. The propellers rotation per minute (RPM), blade tip velocity, and blade length are estimated via time-frequency analysis of the micro-Doppler (m-D) signature using the Gabor transform and the Hilbert Hung transform. Additionally, proposed EMD-based image processing techniques were applied to the time-frequency data, for accurate parameter estimation. In the process of estimating the length of propeller blades, the measurement results are attained with a minimal error margin.</p>