hh.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Reconnaissance Radar Robot
Halmstad University, School of Information Technology.
Halmstad University, School of Information Technology.
2023 (English)Independent thesis Basic level (professional degree), 10 credits / 15 HE creditsStudent 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.

Available from: 2023-06-02 Created: 2023-06-14 Last updated: 2025-10-01Bibliographically approved

Open Access in DiVA

fulltext(49437 kB)605 downloads
File information
File name FULLTEXT02.pdfFile size 49437 kBChecksum SHA-512
19c14283aa04114d85790a0c4a21bbe801ac3ce6a2c08002597ce44c25d9337bd50e29c6b44af8ce7c621f8ea1f1f34ca3f5853aab541ce46e422a6cdb1f3d9b
Type fulltextMimetype application/pdf

By organisation
School of Information Technology
Computer and Information SciencesComputer SciencesSoftware EngineeringSignal ProcessingComputer Systems

Search outside of DiVA

GoogleGoogle Scholar
Total: 605 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 634 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf