Shape Feature Aided Target Detection Method for Micro-drone Surveillance Radar

Yang, F., Le Kernec, J. , Fioranelli, F. and Liu, Q. (2021) Shape Feature Aided Target Detection Method for Micro-drone Surveillance Radar. In: IET International Radar Conference 2020, Chongqing City, China, 4-6 Nov 2020, pp. 390-395. ISBN 9781839535406 (doi: 10.1049/icp.2021.0839)

Abstract

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.

• Item Type: Conference Proceedings
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Fioranelli, Dr Francesco and Le Kernec, Dr Julien and Yang, Fawei
• Authors: Yang, F., Le Kernec, J., Fioranelli, F., and Liu, Q.
• College/School: College of Science and Engineering > School of Engineering; College of Science and Engineering > School of Engineering > Systems Power and Energy
• ISBN: 9781839535406
• Copyright Holders: Copyright © 2021 Institution of Engineering and Technology
• First Published: First published in IET International Radar Conference 2020: 390-395
• Publisher Policy: Reproduced in accordance with the publisher copyright policy