Analysis On Drone Detection and Classification in LTE-Based Passive Forward Scattering Radar System

Long-Term Evolution (LTE) is most commonly used in connection with 4G networks high spectral efficiency, peak data rates, flexible frequency and bandwidth.By utilizing LTE signal passive forward scattering radar as transmitter, this system able to create a microwave domain at the radar's receiver part which generated moving object's Doppler signature.The emergence of guided missiles, humans, airplanes, drones that travel through between scatter systems can really be spotted system. This study's primary goal employ an detect drones, are by individuals violate or invade private secure places. In detail, drone was detected two distinct heights twometers(lower) threemeters(higher) from ground utilizingpassive generate signature flying drone.This experimental work conducted locations Taman Suria (UiTM, Shah Alam) Teluk Kemang (Port Dickson), due telecommunication transmitter antenna transmits 1.8 GHz 2.6 GHz. The results detection various were evaluated using Principal Component Analysis (PCA)on all obtained. According evaluation, lower height performedbetter classification confusion matrices analysis than upper larger cross-sectional area for travelled zone.In summary, overall study clearly demonstrates effective categorization positions Principle (PCA). For future contribution research, it airport any unwanted trespassing flight departure area, important areas such Federal Administrative Centre Malaysia, Putrajaya spying purposes.