Projects:2017s1-125 Drone Imaging and Classification using Radar
Project Team
Elliot Hansen
Pranjal Chowdhury
Zikai Liu
Ran Li
Supervisors
Dr Brian Ng
Dr Waddah Al-Ashwal
Introduction
Drones have entered the modern lexicon due to their widespread uses in commercial, research and military contexts. Their prevalence is expected to increase in the coming years, with safety and privacy implications for society. This project explores the use of radar to perform imaging of drones, and attempts to understand the characteristics in their radar returns. Inverse synthetic aperture radar (ISAR) images will be simulated, and a radar system will be used to make real measurements of consumer drones in the School’s anechoic chamber. The outcome of this project will provide a cornerstone for building effective radar systems capable of surveillance and identification of drones.
Objectives
- Gain knowledge about the application of ISAR.
- Build an ISAR system capable of producing imagery of consumer drones.
- Form ISAR images of a consumer drone in an anechoic chamber.
- Analyse the images and understand the characteristics of the drones' radar returns.