Systems Engineering and Electronics ›› 2023, Vol. 45 ›› Issue (10): 3122-3131.doi: 10.12305/j.issn.1001-506X.2023.10.16
• Systems Engineering • Previous Articles
Jia LIU1, Qunyu XU2,*, Weishi CHEN3
Received:
2021-09-18
Online:
2023-09-25
Published:
2023-10-11
Contact:
Qunyu XU
CLC Number:
Jia LIU, Qunyu XU, Weishi CHEN. Motion feature extraction and ensembled classification method based on radar tracks for drones[J]. Systems Engineering and Electronics, 2023, 45(10): 3122-3131.
1 |
SHAKHATREH H , SAWALMEH A , AL-FUQAHA A , et al. Unmanned aerial vehicles (UAVs): a survey on civil applications and key research challenges[J]. IEEE Access, 2019, 7, 48572- 48634.
doi: 10.1109/ACCESS.2019.2909530 |
2 | 陈唯实. 轻小型无人机监管、探测与干扰技术[J]. 中国民用航空, 2017, 253 (7): 33- 34. |
CHEN W S . The supervision, detection and jamming technologies for light and small UAV[J]. China Civil Aviation, 2017, 253 (7): 33- 34. | |
3 | RITCHIE M, FIORANELLI F, GRIFFITHS H, et al. Monostatic and bistatic radar measurements of birds and micro-drone[C]//Proc. of the IEEE Radar Conference, 2016. |
4 |
KALEEM Z , REHMANI M H . Amateur drone monitoring: state-of-the-art architectures, key enabling technologies, and future research directions[J]. IEEE Wireless Communications, 2018, 25 (2): 150- 159.
doi: 10.1109/MWC.2018.1700152 |
5 | SCHRODER A, RENKER M, AULENBACHER U, et al. Numerical and experimental radar cross section analysis of the quadrocopter DJI Phantom 2[C]//Proc. of the IEEE Radar Conference, 2015: 463-468. |
6 | 陈小龙, 关键, 黄勇, 等. 雷达低可观测动目标精细化处理及应用[J]. 科技导报, 2017, 35 (20): 19- 27. |
CHEN X L , GUAN J , HUANG Y , et al. Radar refined processing and its applications for low-observable moving target[J]. Science & Technology Review, 2017, 35 (20): 19- 27. | |
7 |
VAUGHN , C R . Birds and insects as radar targets: a review[J]. Proc.of the IEEE, 1985, 73 (2): 205- 227.
doi: 10.1109/PROC.1985.13134 |
8 | TORVIK B , OLSEN K E , GRIFFITHS H . Classification of birds and UAVs based on radar polarimetry[J]. IEEE Geoscience & Remote Sensing Letters, 2016, 13 (9): 1305- 1309. |
9 | PATEL J S , FIORANELLI F , ANDERSON D . Review of radar classification & RCS characterization techniques for small UAVs or drones[J]. IET Radar, Sonar & Navigation, 2018, 12 (9): 911- 919. |
10 |
陈唯实, 李敬. 雷达探鸟技术发展与应用综述[J]. 现代雷达, 2017, 39 (2): 7- 17.
doi: 10.16592/j.cnki.1004-7859.2017.02.002 |
CHEN W S , LI J . Review on development and applications of avian radar technology[J]. Modern Radar, 2017, 39 (2): 7- 17.
doi: 10.16592/j.cnki.1004-7859.2017.02.002 |
|
11 | JAHANGIR M, BAKER C J, OSWALD G A. Doppler characteri-stics of micro-drones with L-band multibeam staring radar[C]//Proc. of the IEEE Radar Conference, 2017: 1052-1057. |
12 | CHEN V C . The micro-Doppler effect in radar[M]. Boston: Artech House, 2011. |
13 | MOLCHANOV P , HARMANNY R , WIT J D , et al. Classification of small UAVs and birds by micro-Doppler signatures[J]. International Journal of Microwave & Wireless Technologies, 2014, 6 (3/4): 435- 444. |
14 |
TAHA B , SHOUFAN A . Machine learning-based drone detection and classification: state-of-the-art in research[J]. IEEE Access, 2019, 7, 138669- 138682.
doi: 10.1109/ACCESS.2019.2942944 |
15 | 陈小龙, 陈唯实, 饶云华, 等. 飞鸟与无人机目标雷达探测与识别技术进展与展望[J]. 雷达学报, 2020, 9 (5): 803- 827. |
CHEN X L , CHEN W S , RAO Y H , et al. Progress and prospects of radar target detection and recognition technology for flying birds and unmanned aerial vehicles[J]. Journal of Radars, 2020, 9 (5): 803- 827. | |
16 | JIAN M, LU Z Z, CHEN V C. Experimental study on radar micro-Doppler signatures of unmanned aerial vehicles[C]//Proc. of the IEEE Radar Conference, 2017: 854-857. |
17 | ZABALZA J , CLEMENTE C , CATERINA G D , et al. Robust PCA micro-Doppler classification using SVM on embedded systems[J]. IEEE Trans.on Aerospace & Electronic Systems, 2014, 50 (3): 2304- 2310. |
18 |
ANG H S , XIAO T H , DUAN W B . Flight mechanism and design of biomimetic micro air vehicles[J]. Science in China Series E: Technological Sciences, 2009, 52 (12): 3722- 3728.
doi: 10.1007/s11431-009-0192-3 |
19 | 陈唯实, 刘佳, 陈小龙, 等. 基于运动模型的低空非合作无人机目标识别[J]. 北京航空航天大学学报, 2019, 45 (4): 687- 694. |
CHEN W S , LIU J , CHEN X L , et al. Non-cooperative UAV target recognition in low-altitude airspace based on motion model[J]. Journal of Beijing University of Aeronautics and Astronautics, 2019, 45 (4): 687- 694. | |
20 | GERRINGER M B. Evaluation of an avian radar system[D]. Terre Haute, Indiana: Indiana State University, 2013. |
21 |
BELGIU M , DRAGUT L . Random forest in remote sensing: a review of applications and future directions[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2016, 114, 24- 31.
doi: 10.1016/j.isprsjprs.2016.01.011 |
22 |
GAUTHREAUX S , DIEHL R . Discrimination of biological scatterers in polarimetric weather radar data: opportunities and challenges[J]. Remote Sensing, 2020, 12 (3): 545.
doi: 10.3390/rs12030545 |
23 | MENZE B H , KELM M B , MASUCH R , et al. A comparison of random forest and its Gini importance with standard chemometric methods for the feature selection and classification of spectral data[J]. BMC Bioinformatics, 2009, 10 (1): 213. |
24 | 陈唯实, 万健, 李敬. 基于机场探鸟雷达数据的鸟击风险评估[J]. 北京航空航天大学学报, 2013, 39 (11): 14- 19. |
CHEN W S , WAN J , LI J . Bird strike risk assessment with airport avian radar data[J]. Journal of Beijing University of Aeronautics and Astronautics, 2013, 39 (11): 14- 19. | |
25 | CHEN W S . Spatial and temporal features selection for low-altitude target detection[J]. Aerospace Science and Technology, 2015, 40, 171- 180. |
26 | HASSINE K, ERBAD A, HAMILA R. Important complexity reduction of random forest in multi-classification problem[C]//Proc. of the 15th International Wireless Communications and Mobile Computing Conference, 2019: 226-231. |
27 | LIU Y Q , GUO Y Z , WU W G , et al. A machine learning-based QSAR model for benzimidazole derivatives as corrosion inhibitors by incorporating comprehensive feature selection[J]. Interdisciplinary Sciences: Computational Life Sciences, 2019, 11 (4): 738- 747. |
28 | QUEVEDO A, URZAIZ F I, MENOYO J G, et al. Drone detection and RCS measurements with ubiquitous radar[C]//Proc. of the International Conference on Radar, 2018. |
29 | WANG S L , BI D P , RUAN H L , et al. Cognitive structure adaptive particle filter for radar maneuvering target tracking[J]. IET Radar, Sonar & Navigation, 2019, 13 (1): 23- 30. |
30 | JOHNSON Z W , ROMERO R . Adaptive beamsteering cognitive radar with integrated search-and-track of swarm targets[J]. IEEE Access, 2021, 9, 50652- 50666. |
[1] | Xiaofeng ZHAO, Jiahui NIU, Chuntong LIU, Yuting XIA. Hyperspectral image classification based on hybrid convolution with three-dimensional attention mechanism [J]. Systems Engineering and Electronics, 2023, 45(9): 2673-2680. |
[2] | Wei FANG, Jingwen LIANG, Hengyang LU. Genetic programming algorithm based on cluster tournament and parent matching [J]. Systems Engineering and Electronics, 2023, 45(8): 2405-2414. |
[3] | Husheng WANG, Baixiao CHEN, Qingzhi YE. Research on anti-chaff jamming method based on measured data [J]. Systems Engineering and Electronics, 2023, 45(7): 2010-2021. |
[4] | Fan YANG, Ping MA, Wei LI, Ming YANG. Intelligent ranking evaluation method of simulation models based on siamese network [J]. Systems Engineering and Electronics, 2023, 45(7): 2060-2068. |
[5] | Zhe DENG, Jing LEI, Chengzhe SUN. Semi-supervised interference cancellation method for frequency hopping signal blind detection [J]. Systems Engineering and Electronics, 2023, 45(7): 2236-2248. |
[6] | Caiyun WANG, Yida WU, Jianing WANG, Lu MA, Huanyue ZHAO. SAR image target recognition based on combinatorial optimization convolutional neural network [J]. Systems Engineering and Electronics, 2022, 44(8): 2483-2487. |
[7] | Zexuan MA, Jin LI, Yanli LU, Chen CHEN. Network intrusion detection method based on WaveNet and BiGRU [J]. Systems Engineering and Electronics, 2022, 44(8): 2652-2660. |
[8] | Haoliang LI, Siwei CHEN, Xuesong WANG. Study on characterization of sea corner reflectors in polarimetric rotation domain [J]. Systems Engineering and Electronics, 2022, 44(7): 2065-2073. |
[9] | Jingming SUN, Shengkang YU, Jun SUN. Radar small sample target recognition method based on meta learning and its improvement [J]. Systems Engineering and Electronics, 2022, 44(6): 1839-1845. |
[10] | Jun MA, Jingyu YANG, Xi WU. Evaluation of operational system of systems effectiveness based on pre-clustering active semi-supervised learning [J]. Systems Engineering and Electronics, 2022, 44(6): 1889-1896. |
[11] | Jingming SUN, Shengkang YU, Jun SUN. Pose sensitivity analysis of HRRP recognition based on deep learning [J]. Systems Engineering and Electronics, 2022, 44(3): 802-807. |
[12] | Qi LIU, Xinyu ZHANG, Yongxiang LIU. Few-shot SAR target recognition based on gated multi-scale matching network [J]. Systems Engineering and Electronics, 2022, 44(11): 3346-3356. |
[13] | Feng ZHU, Qianqian JIANG, Chuan LIN, Xiao YANG. Typical wideband EMI identification based on support vector machine [J]. Systems Engineering and Electronics, 2021, 43(9): 2400-2406. |
[14] | Xu LI, Meng DING, Donghui WEI, Xiaozhou WU, Yunfeng CAO. Depth estimation method based on monocular infrared image in VDAS [J]. Systems Engineering and Electronics, 2021, 43(5): 1210-1217. |
[15] | Li WANG, Ziqi LIU. Fault diagnosis of analog circuit for WPA-IGA-BP neural network [J]. Systems Engineering and Electronics, 2021, 43(4): 1133-1143. |
Viewed | ||||||
Full text |
|
|||||
Abstract |
|
|||||