Radar-Aided Navigation System for Small Drones in GPS-Denied Environments

Keith T.J. Klein, Faruk Uysal, Miguel Caro Cuenca, Matern P.G. Otten, Jacco J.M. de Wit

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

6 Citations (Scopus)


Continuous navigation is crucial for small drones when flying a pre-planned route or during autonomous flight. In scenarios where a global positioning system (GPS) signal is unavailable, drift in the onboard sensors causes the inertial navigation system (INS) to quickly deviate from the planned route. This paper proposes a radar-aided navigation method for small drones which is able to estimate the horizontal velocity and height of the platform independently from GPS. The method is based on an omnidirectional radar system and takes advantage of multi-look processing to increase estimation precision. Simulations and experiments verify that an omnidirectional radar can be used to successfully estimate the velocity and course of a small drone platform.
Original languageEnglish
Title of host publication2021 IEEE Radar Conference
Subtitle of host publicationRadar on the Move, RadarConf 2021
Number of pages6
ISBN (Electronic)978-1-7281-7609-3
ISBN (Print)978-1-7281-7610-9
Publication statusPublished - 2021
Event2021 IEEE Radar Conference (RadarConf21): Radar on the Move - Atlanta, United States
Duration: 7 May 202114 May 2021

Publication series

NameIEEE National Radar Conference - Proceedings
ISSN (Print)1097-5659


Conference2021 IEEE Radar Conference (RadarConf21)
Country/TerritoryUnited States


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