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Drone Detection and Classification Using by mohamed.kbida is a document available to read on EtoBox.

What is Drone Detection and Classification Using about?

The study focuses on using passive forward scattering radar for the detection and classification of drones, particularly in enhancing security at sensitive locations in Malaysia. The research involved analyzing Doppler signatures of drones and prototypes at different frequencies (1.8 GHz and 2.6 GHz) using MATLAB for data processing and classification. Results indicated that the 1.8 GHz frequency provided better detection quality, and the methodology could be applied in various security contexts, including

Author
mohamed.kbida
Language
EN