Shape feature aided target detection method for micro-drone surveillance radar

Shape feature aided target detection method for micro-drone surveillance radar

Yang, Fawei (Beijing Institute of Technology)
Le Kernec, Julien (University of Glasgow)
Fioranelli, F. (TU Delft Microwave Sensing, Signals & Systems)
Liu, Quanhua (Beijing Institute of Technology)

2020

This paper presents a shape feature aided target detection method for micro-drone surveillance radar in order to mitigate the false alarms caused by the ground clutter. The method consists of a segmentation threshold selection method based on target measurements and a shape-feature extraction method based on Hu moments. Then the performance of the proposed method is verified experimentally using a real radar system. Field experiment using DJI phantom 3 is conducted, and the measured data is analysed. The results show that although there exist some limitations, the proposed method has good performance on eliminating the false alarms caused by the strong ground clutter in micro-drone detection and improving the target tracking accuracy.

Feature aided
Micro-drone detection
Shape feature extraction

http://resolver.tudelft.nl/uuid:2300cb8a-d86f-4f90-bb1a-7cda5eb225c4

https://doi.org/10.1049/icp.2021.0839

2022-02-01

390-395

IET International Radar Conference 2020, IET IRC 2020, 2020-11-04 → 2020-11-06, Virtual, Online

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Institutional Repository

conference paper

© 2020 Fawei Yang, Julien Le Kernec, F. Fioranelli, Quanhua Liu