Reconnaissance Radar Robot
2023 (English)Independent thesis Basic level (professional degree), 10 credits / 15 HE credits
Student thesis
Abstract [en]
During the last century, various countries' armed forces have used unmanned aerial vehicles, commonly known as drones. In recent years, strives have been made to develop small commercial drones that have allowed the general public to afford and use them for recreational purposes. The availability of drones has led to immoral applications of the technology. Such applications need to be faced with anti-measures and effective detection methods. Therefore, this thesis aims to develop a mobile reconnaissance robot that can detect commercial drones with radar. It describes integrating radar sensors with single-board computers to detect and localise air-bound objects. The finished product aims to be used for educational and exhibition purposes at the Swedish Armed Forces technical school to increase awareness of the technology.
Place, publisher, year, edition, pages
2023. , p. 37
Keywords [en]
radar, signal, processing, signal processing, state, machine, state machine, test, testing, radar testing, radar technology, frequency modulated continuous wave, fmcw, pulse radar, raspberry pi, single board computer, sbc, poe, power over ethernet, mqtt, mqtt package, python, drones, uav, unmanned aerial vehicle, drone detection, radar robot, swedish armed forces, swedish armed forces technical school, fmts, beamforming, fast fourier transform, fft, point cloud, point clustering, software design
National Category
Computer and Information Sciences Computer Sciences Software Engineering Signal Processing Computer Systems
Identifiers
URN: urn:nbn:se:hh:diva-50713OAI: oai:DiVA.org:hh-50713DiVA, id: diva2:1768083
External cooperation
Försvarsmaktens Tekniska Skola (FMTS)
Educational program
Computer Engineer, 180 credits
Supervisors
Examiners
Note
Försvarsmaktens tekniska skola i Halmstad var intressenter för uppsatsen.
2023-06-022023-06-142025-10-01Bibliographically approved