Progress and Prospects of Radar Target Detection and Recognition Technology for Flying Birds and Unmanned Aerial Vehicles
Flying birds and Unmanned Aerial Vehicles (UAVs) are typical “low, slow, and small” targets with low observability. The need for effective monitoring and identification of these two targets has become urgent and must be solved to ensure the safety of air routes and urban areas. There are many types...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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China Science Publishing & Media Ltd. (CSPM)
2020-10-01
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| Series: | Leida xuebao |
| Subjects: | |
| Online Access: | https://radars.ac.cn/cn/article/doi/10.12000/JR20068 |
| _version_ | 1797422141645258752 |
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| author | Xiaolong CHEN Weishi CHEN Yunhua RAO Yong HUANG Jian GUAN Yunlong DONG |
| author_facet | Xiaolong CHEN Weishi CHEN Yunhua RAO Yong HUANG Jian GUAN Yunlong DONG |
| author_sort | Xiaolong CHEN |
| collection | DOAJ |
| description | Flying birds and Unmanned Aerial Vehicles (UAVs) are typical “low, slow, and small” targets with low observability. The need for effective monitoring and identification of these two targets has become urgent and must be solved to ensure the safety of air routes and urban areas. There are many types of flying birds and UAVs that are characterized by low flying heights, strong maneuverability, small radar cross-sectional areas, and complicated detection environments, which are posing great challenges in target detection worldwide. “Visible (high detection ability) and clear-cut (high recognition probability)” methods and technologies must be developed that can finely describe and recognize UAVs, flying birds, and “low-slow-small” targets. This paper reviews the recent progress in research on detection and recognition technologies for rotor UAVs and flying birds in complex scenes and discusses effective detection and recognition methods for the detection of birds and drones, including echo modeling and recognition of fretting characteristics, the enhancement and extraction of maneuvering features in ubiquitous observation mode, distributed multi-view features fusion, differences in motion trajectories, and intelligent classification via deep learning. Lastly, the problems of existing research approaches are summarized, and we consider the future development prospects of target detection and recognition technologies for flying birds and UAVs in complex scenarios. |
| first_indexed | 2024-03-09T07:27:55Z |
| format | Article |
| id | doaj.art-19b0075789014adab659018b49792a33 |
| institution | Directory Open Access Journal |
| issn | 2095-283X |
| language | English |
| last_indexed | 2024-03-09T07:27:55Z |
| publishDate | 2020-10-01 |
| publisher | China Science Publishing & Media Ltd. (CSPM) |
| record_format | Article |
| series | Leida xuebao |
| spelling | doaj.art-19b0075789014adab659018b49792a332023-12-03T06:48:12ZengChina Science Publishing & Media Ltd. (CSPM)Leida xuebao2095-283X2020-10-019580382710.12000/JR20068R20068Progress and Prospects of Radar Target Detection and Recognition Technology for Flying Birds and Unmanned Aerial VehiclesXiaolong CHEN0Weishi CHEN1Yunhua RAO2Yong HUANG3Jian GUAN4Yunlong DONG5Naval Aviation University, Yantai 264001, ChinaAirport Research Institute, China Academy of Civil Aviation Science and Technology, Beijing 100028, ChinaSchool of Electronic Information, Wuhan University, Wuhan 430072, ChinaNaval Aviation University, Yantai 264001, ChinaNaval Aviation University, Yantai 264001, ChinaNaval Aviation University, Yantai 264001, ChinaFlying birds and Unmanned Aerial Vehicles (UAVs) are typical “low, slow, and small” targets with low observability. The need for effective monitoring and identification of these two targets has become urgent and must be solved to ensure the safety of air routes and urban areas. There are many types of flying birds and UAVs that are characterized by low flying heights, strong maneuverability, small radar cross-sectional areas, and complicated detection environments, which are posing great challenges in target detection worldwide. “Visible (high detection ability) and clear-cut (high recognition probability)” methods and technologies must be developed that can finely describe and recognize UAVs, flying birds, and “low-slow-small” targets. This paper reviews the recent progress in research on detection and recognition technologies for rotor UAVs and flying birds in complex scenes and discusses effective detection and recognition methods for the detection of birds and drones, including echo modeling and recognition of fretting characteristics, the enhancement and extraction of maneuvering features in ubiquitous observation mode, distributed multi-view features fusion, differences in motion trajectories, and intelligent classification via deep learning. Lastly, the problems of existing research approaches are summarized, and we consider the future development prospects of target detection and recognition technologies for flying birds and UAVs in complex scenarios.https://radars.ac.cn/cn/article/doi/10.12000/JR20068radar target detectionflying bird and unmanned aerial vehicle (uav) targetmicro-dopplerfeatures extractiontarget recognitiondeep learning |
| spellingShingle | Xiaolong CHEN Weishi CHEN Yunhua RAO Yong HUANG Jian GUAN Yunlong DONG Progress and Prospects of Radar Target Detection and Recognition Technology for Flying Birds and Unmanned Aerial Vehicles Leida xuebao radar target detection flying bird and unmanned aerial vehicle (uav) target micro-doppler features extraction target recognition deep learning |
| title | Progress and Prospects of Radar Target Detection and Recognition Technology for Flying Birds and Unmanned Aerial Vehicles |
| title_full | Progress and Prospects of Radar Target Detection and Recognition Technology for Flying Birds and Unmanned Aerial Vehicles |
| title_fullStr | Progress and Prospects of Radar Target Detection and Recognition Technology for Flying Birds and Unmanned Aerial Vehicles |
| title_full_unstemmed | Progress and Prospects of Radar Target Detection and Recognition Technology for Flying Birds and Unmanned Aerial Vehicles |
| title_short | Progress and Prospects of Radar Target Detection and Recognition Technology for Flying Birds and Unmanned Aerial Vehicles |
| title_sort | progress and prospects of radar target detection and recognition technology for flying birds and unmanned aerial vehicles |
| topic | radar target detection flying bird and unmanned aerial vehicle (uav) target micro-doppler features extraction target recognition deep learning |
| url | https://radars.ac.cn/cn/article/doi/10.12000/JR20068 |
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