A Gaussian Process model for UAV localization using millimetre wave radar

作者：

Highlights：

• A new UAV localization system is presented, based on millimetre wave radar data.

• The micro-Doppler effect is used to improve target detection.

• A Gaussian Process regression model is developed, in order to overcome noise and bias in the radar data.

• The system is shown to perform well in cluttered environments.

摘要

•A new UAV localization system is presented, based on millimetre wave radar data.•The micro-Doppler effect is used to improve target detection.•A Gaussian Process regression model is developed, in order to overcome noise and bias in the radar data.•The system is shown to perform well in cluttered environments.

论文关键词：Positioning system,Drone,Radar,Millimetre wave

论文评审过程：Received 17 December 2020, Revised 8 May 2021, Accepted 3 July 2021, Available online 16 July 2021, Version of Record 21 July 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115563