| Citation: | ZHAN Weijie, WAN Xianrong, YI Jianxin. Analytical Expression of the Time-Frequency Features of the Near-Field and Far-Field Micro-Motion Echo Based on Local Scattering Centers[J]. Journal of Electronics & Information Technology, 2022, 44(8): 2867-2877. doi: 10.11999/JEIT210565 | 
 
	                | [1] | CHEN V C, LI F, HO S S, et al. Micro-Doppler effect in radar: Phenomenon, model, and simulation study[J]. IEEE Transactions on Aerospace and Electronic Systems, 2006, 42(1): 2–21. doi:  10.1109/TAES.2006.1603402 | 
| [2] | 张群, 胡健, 罗迎, 等. 微动目标雷达特征提取、成像与识别研究进展[J]. 雷达学报, 2018, 7(5): 531–547. doi:  10.12000/JR18049 ZHANG Qun, HU Jian, LUO Ying, et al. Research progresses in radar feature extraction, imaging, and recognition of target with micro-motions[J]. Journal of Radars, 2018, 7(5): 531–547. doi:  10.12000/JR18049 | 
| [3] | 苏宁远, 陈小龙, 关键, 等. 基于卷积神经网络的海上微动目标检测与分类方法[J]. 雷达学报, 2018, 7(5): 565–574. doi:  10.12000/JR18077 SU Ningyuan, CHEN Xiaolong, GUAN Jian, et al. Detection and classification of maritime target with micro-motion based on CNNs[J]. Journal of Radars, 2018, 7(5): 565–574. doi:  10.12000/JR18077 | 
| [4] | CHEN Xiaolong, GUAN Jian, HUANG Yong, et al. Radon-linear canonical ambiguity function-based detection and estimation method for marine target with micromotion[J]. IEEE Transactions on Geoscience and Remote Sensing, 2015, 53(4): 2225–2240. doi:  10.1109/TGRS.2014.2358456 | 
| [5] | LI Gang, ZHANG Rui, RITCHIE M, et al. Sparsity-driven micro-Doppler feature extraction for dynamic hand gesture recognition[J]. IEEE Transactions on Aerospace and Electronic Systems, 2018, 54(2): 655–665. doi:  10.1109/TAES.2017.2761229 | 
| [6] | ZHU Lingzhi, ZHANG Shuning, XU Shenan, et al. Classification of UAV-to-ground targets based on Micro-Doppler fractal features using IEEMD and GA-BP neural network[J]. IEEE Sensors Journal, 2020, 20(1): 348–358. doi:  10.1109/JSEN.2019.2942081 | 
| [7] | SUN Yingxiang, ABEYWICKRAMA S, JAYASINGHE L, et al. Micro-Doppler signature-based detection, classification, and localization of small UAV with long short-term memory neural network[J]. IEEE Transactions on Geoscience and Remote Sensing, 2021, 59(8): 6285–6300. doi:  10.1109/TGRS.2020.3028654 | 
| [8] | LI Xinyu, HE Yuan, FIORANELLI F, et al. Human motion recognition with limited radar micro-Doppler signatures[J]. IEEE Transactions on Geoscience and Remote Sensing, 2021, 59(8): 6586–6599. doi:  10.1109/TGRS.2020.3028223 | 
| [9] | PANG Cunsuo, HAN Yan, HOU Huiling, et al. Micro-Doppler signal time-frequency algorithm based on STFRFT[J]. Sensors, 2016, 16(10): 1559. doi:  10.3390/s16101559 | 
| [10] | LI Wenchao, XIONG Boli, and KUANG Gangyao. Micro-Doppler parameter estimation based on improved time-frequency analysis[C]. Proceedings of the 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), Shanghai, China, 2017: 1–4. | 
| [11] | WHITELONIS N and LING Hao. Radar signature analysis using a joint time-frequency distribution based on compressed sensing[J]. IEEE Transactions on Antennas and Propagation, 2014, 62(2): 755–763. doi:  10.1109/TAP.2013.2291893 | 
| [12] | BIENKOWSKI P and TRZASKA H. Electromagnetic Measurements in the Near Field[M]. 2nd ed. Raleigh: SciTech Pub. , 2012. | 
| [13] | CLEMENTE C and SORAGHAN J J. GNSS-based passive bistatic radar for micro-Doppler analysis of helicopter rotor blades[J]. IEEE Transactions on Aerospace and Electronic Systems, 2014, 50(1): 491–500. doi:  10.1109/TAES.2013.120018 | 
| [14] | GARRY J L and SMITH G E. Experimental observations of micro-Doppler signatures with passive radar[J]. IEEE Transactions on Aerospace and Electronic Systems, 2019, 55(2): 1045–1052. doi:  10.1109/TAES.2019.2895584 | 
| [15] | 马娇, 董勇伟, 李原, 等. 多旋翼无人机微多普勒特性分析与特征提取[J]. 中国科学院大学学报, 2019, 36(2): 235–243. doi:  10.7523/j.issn.2095-6134.2019.02.011 MA Jiao, DONG Yongwei, LI Yuan, et al. Multi-rotor UAV’s micro-Doppler characteristic analysis and feature extraction[J]. Journal of University of Chinese Academy of Sciences, 2019, 36(2): 235–243. doi:  10.7523/j.issn.2095-6134.2019.02.011 | 
| [16] | 何炜琨, 孙景波, 王晓亮, 等. 基于RSP-CFD方法的小型旋翼无人机微动特征提取[J]. 信号处理, 2021, 37(3): 399–408. doi:  10.16798/j.issn.1003-0530.2021.03.010 HE Weikun, SUN Jingbo, WANG Xiaoliang, et al. Micro-motion feature extraction of micro-rotor UAV based on RSP-CFD method[J]. Journal of Signal Processing, 2021, 37(3): 399–408. doi:  10.16798/j.issn.1003-0530.2021.03.010 | 
| [17] | 陈小龙, 南钊, 张海, 等. 飞鸟与旋翼无人机雷达微多普勒测量实验研究[J]. 电波科学学报, 2021, 36(5): 704–714. doi:  10.12265/j.cjors.2020192 CHEN Xiaolong, NAN Zhao, ZHANG Hai, et al. Experimental research on radar micro-Doppler of flying bird and rotor UAV[J]. Chinese Journal of Radio Science, 2021, 36(5): 704–714. doi:  10.12265/j.cjors.2020192 | 
| [18] | 陈永彬, 李少东, 杨军, 等. 旋翼叶片回波建模与闪烁现象机理分析[J]. 物理学报, 2016, 65(13): 138401. doi:  10.7498/aps.65.138401 CHEN Yongbin, LI Shaodong, YANG Jun, et al. Rotor blades echo modeling and mechanism analysis of flashes phenomena[J]. Acta Physica Sinica, 2016, 65(13): 138401. doi:  10.7498/aps.65.138401 | 
| [19] | NIKOUBIN T, MUÑOZ-FERRERAS J, GÓMEZ-GARCÍA R, et al. Structural health monitoring of wind turbines using a low-cost portable k-band radar: An ab-initio field investigation[C]. Proceedings of 2015 IEEE Topical Conference on Wireless Sensors and Sensor Networks (WiSNet), San Diego, USA, 2015: 69–71, | 
| [20] | ZHAO Heng, CHEN Geng, HONG Hong, et al. Remote structural health monitoring for industrial wind turbines using short-range Doppler radar[J]. IEEE Transactions on Instrumentation and Measurement, 2021, 70: 8002609. doi:  10.1109/TIM.2021.3053959 | 
| [21] | VAN LIL E, TRAPPENIERS D, DE BLESER J W, et al. Computations of radar returns of wind turbines[C]. Proceedings of the 3rd European Conference on Antennas and Propagation, Berlin, Germany, 2009: 3852–3856. | 
| [22] | BEAUCHAMP R M and CHANDRASEKAR V. Suppressing wind turbine signatures in weather radar observations[J]. IEEE Transactions on Geoscience and Remote Sensing, 2017, 55(5): 2546–2562. doi:  10.1109/TGRS.2016.2647604 | 
| [23] | NAQVI A, YANG Shangte, and LING Hao. Investigation of Doppler features from wind turbine scattering[J]. IEEE Antennas and Wireless Propagation Letters, 2010, 9: 485–488. doi:  10.1109/LAWP.2010.2050672 | 
| [24] | CRESPO-BALLESTEROS M, ANTONIOU M, and CHERNIAKOV M. Wind turbine blade radar signatures in the near field: Modeling and experimental confirmation[J]. IEEE Transactions on Aerospace and Electronic Systems, 2017, 53(4): 1916–1931. doi:  10.1109/TAES.2017.2675241 | 
| [25] | BOASHASH B. Estimating and interpreting the instantaneous frequency of a signal. I. Fundamentals[J]. Proceedings of the IEEE, 1992, 80(4): 520–538. doi:  10.1109/5.135376 | 
| [26] | BOASHASH B. Estimating and interpreting the instantaneous frequency of a signal. II. Algorithms and applications[J]. Proceedings of the IEEE, 1992, 80(4): 540–568. doi:  10.1109/5.135378 | 
| [27] | 张麟兮, 李南京, 胡楚锋, 等. 雷达目标散射特性测试与成像诊断[M]. 北京: 中国宇航出版社, 2009. | 
| [28] | WAN Xianrong, YI Jianxin, ZHAO Zhixin, et al. Experimental research for CMMB-based passive radar under a multipath environment[J]. IEEE Transactions on Aerospace and Electronic Systems, 2014, 50(1): 70–85. doi:  10.1109/TAES.2013.120737 | 
| [29] | 万显荣, 邵启红, 夏鹏, 等. 数字地面多媒体广播外辐射源雷达微多普勒效应实验[J]. 系统工程与电子技术, 2016, 38(11): 2499–2504. doi:  10.3969/j.issn.1001-506X.2016.11.08 WAN Xianrong, SHAO Qihong, XIA Peng, et al. Experimentation on micro-Doppler effect with passive radar based on digital terrestrial multimedia broadcasting[J]. Systems Engineering and Electronics, 2016, 38(11): 2499–2504. doi:  10.3969/j.issn.1001-506X.2016.11.08 | 
