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Detection and recognition of UA targets with multiple sensors

Published online by Cambridge University Press:  13 May 2022

W.S. Chen Open the ORCID record for W.S. Chen [Opens in a new window] ,
X.L. Chen ,
J. Liu ,
Q.B. Wang ,
X.F. Lu  and
Y.F. Huang
W.S. Chen*
Affiliation:
China Academy of Civil Aviation Science and Technology, Beijing 100028, China
X.L. Chen
Affiliation:
Naval Aviation University, Yantai 264001, China
J. Liu
Affiliation:
Beihang University, Beijing 100191, China
Q.B. Wang
Affiliation:
China Academy of Civil Aviation Science and Technology, Beijing 100028, China
X.F. Lu
Affiliation:
China Academy of Civil Aviation Science and Technology, Beijing 100028, China
Y.F. Huang
Affiliation:
China Academy of Civil Aviation Science and Technology, Beijing 100028, China
*
*Corresponding author. Email: wishchen@buaa.edu.cn
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Abstract

Modern low-altitude unmanned aircraft (UA) detection and surveillance systems mostly adopt the multi-sensor fusion technology scheme of radar, visible light, infrared, acoustic and radio detection. Firstly, this paper summarises the latest research progress of UA and bird target detection and recognition technology based on radar, and provides an effective way of detection and recognition from the aspects of echo modeling and micro motion characteristic cognition, manoeuver feature enhancement and extraction, motion trajectory difference, deep learning intelligent classification, etc. Furthermore, this paper also analyses the target feature extraction and recognition algorithms represented by deep learning for other kinds of sensor data. Finally, after a comparison of the detection ability of various detection technologies, a technical scheme for low-altitude UA surveillance system based on four types of sensors is proposed, with a detailed description of its main performance indicators.

Keywords

UADetectionDeep learningMulti-sensorInformation fusion
Type
Survey Paper
Information
The Aeronautical Journal , Volume 127 , Issue 1308 , February 2023 , pp. 167 - 192
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Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of Royal Aeronautical Society

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