外辐射源雷达目标扇叶微多普勒效应实验研究

doi:10.12305/j.issn.1001-506X.2021.06.03

系统工程与电子技术 ›› 2021, Vol. 43 ›› Issue (6): 1468-1476.doi: 10.12305/j.issn.1001-506X.2021.06.03

外辐射源雷达目标扇叶微多普勒效应实验研究

占伟杰, 万显荣*, 易建新, 谢德强, 程丰, 饶云华

武汉大学电子信息学院, 湖北武汉 430072

收稿日期:2020-11-30 出版日期:2021-05-21 发布日期:2021-05-28
通讯作者: 万显荣
作者简介:占伟杰(1993—), 男, 博士研究生, 主要研究方向为外辐射源雷达信号处理、实时信号并行处理和微多普勒效应研究|万显荣(1975—), 男, 教授, 博士研究生导师, 博士，主要研究方向为新体制雷达设计、外辐射源雷达、高频雷达系统、信号处理|易建新(1989—), 男, 副研究员，博士, 主要研究方向为外辐射源雷达信号处理、目标跟踪和信息融合|谢德强(1995—), 男, 博士研究生, 主要研究方向为雷达系统设计与信号处理、大数据与机器学习|程丰(1975—), 男, 副教授, 硕士研究生导师, 博士，主要研究方向为阵列信号处理、雷达信号处理|饶云华(1972—), 男, 副教授, 硕士研究生导师, 博士，主要研究方向为新体制雷达、雷达系统设计、无线通信网
基金资助:
国家自然科学基金(61931015);国家自然科学基金(62071335);国家自然科学基金(U1933135);湖北省技术创新重大专项(2019AAA061)

Experimental study on micro-Doppler effect of target blades in passive radar

Weijie ZHAN, Xianrong WAN*, Jianxin YI, Deqiang XIE, Feng CHENG, Yunhua RAO

School of Electronic Information, Wuhan University, Wuhan 430072, China

Received:2020-11-30 Online:2021-05-21 Published:2021-05-28
Contact: Xianrong WAN

摘要/Abstract

摘要：

基于UHF频段外辐射源雷达系统的长期实验观测数据, 重点比较研究了直升机、通航飞机、无人机、风电机组等多种目标的扇叶微动回波特征。首先, 通过多径杂波抑制、主体回波去除等手段使扇叶的微动回波得以凸显。然后, 详细分析了扇叶微动回波在时域、频域、时频分布图、距离-多普勒谱上的特征表现, 揭示了微动特征与扇叶几何结构、运动状态等参数之间的对应关系, 据此实现扇叶尺寸、转速等重要参数的反演。实验结果与理论模型吻合较好, 为建立外辐射源雷达微动特征数据库, 服务后续目标精细化建模、目标分类识别等深层次应用提供了数据和理论支撑。

关键词: 外辐射源雷达, 微多普勒, 微动, 旋转扇叶

Abstract:

Based on the long-term experimental data of UHF-band passive radar system, the characteristics of fan blade micro motion echo of helicopter, navigable aircraft, unmanned aerial vehicle, wind turbine and other targets are compared and studied. The micro motion echoes of the fan blades are firstly highlighted by means of multipath clutter suppression and target main echo removal, then the characteristics of the fan blade micro motion echoes in time domain, frequency domain, time-frequency domain, and Range-Doppler (RD) spectrum are analyzed in detail, and the corresponding relationships between the micro-Doppler features and the geometric structures and motion states of the fan blades are revealed. The experimental results are in good agreement with the theoretical model, which provides data and theoretical supports for the establishment of the micro-Doppler feature database of passive radar, serving for the subsequent deep-seated applications such as target fine modeling, target classification and recognition.

Key words: passive radar, micro-Doppler, micro motion, rotating blades

中图分类号:

TN958.97

占伟杰, 万显荣, 易建新, 谢德强, 程丰, 饶云华. 外辐射源雷达目标扇叶微多普勒效应实验研究[J]. 系统工程与电子技术, 2021, 43(6): 1468-1476.

Weijie ZHAN, Xianrong WAN, Jianxin YI, Deqiang XIE, Feng CHENG, Yunhua RAO. Experimental study on micro-Doppler effect of target blades in passive radar[J]. Systems Engineering and Electronics, 2021, 43(6): 1468-1476.

图/表 10

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参考文献 30

1	CHEN V C , LI F , HO S S , et al. Micro-Doppler effect in radar: phenomenon, model and simulation study[J]. IEEE Trans.on Aerospace and Electronic Systems, 2006, 42 (1): 2- 21.
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.
	ZHANG Q , HU J , LUO Y , et al. Research progresses in radar feature extraction, imaging, and recognition of target with micro-motions[J]. Journal of Radar, 2018, 7 (5): 531- 547.
3	束长勇, 张生俊, 黄沛霖, 等. 基于微多普勒估计的进动锥体目标特征参数[J]. 系统工程与电子技术, 2017, 39 (1): 15- 20.
	SHU C Y , ZHAN S J , HUANG P L , et al. Characteristic parameters estimation of procession cone[J]. Systems Engineering and Electronics, 2017, 39 (1): 15- 20.
4	ZHAO M M , ZHANG Q , LUO Y , et al. Micromotion feature extraction and distinguishing of space group targets[J]. IEEE Geoscience and Remote Sensing Letters, 2017, 14 (2): 174- 178. doi: 10.1109/LGRS.2016.2633426
5	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.
	SU N Y , CHEN X L , GUAN J , et al. Detection and classification of maritime target with micro-motion based on CNNs[J]. Journal of Radars, 2018, 7 (5): 565- 574.
6	UMMENHOFER M, SCHWARK C, KRESS C, et al. Practical investigation of using passive radar for structural health monitoring of wind farm[C]//Proc. of the International Conference on Environmental Engineering, 2018.
7	ZHANG W Y , LI G , BAKER C . Radar recognition of multiple micro-drones based on their micro-Doppler signatures via dictionary learning[J]. IET Radar, Sonar & Navigation, 2019, 14 (9): 1310- 1318.
8	SEYFIOGLU M S , EROL B , GURBUZ S Z , et al. DNN transfer learning from diversified micro-Doppler for motion classification[J]. IEEE Trans.on Aerospace and Electronic Systems, 2019, 55 (5): 2164- 2180. doi: 10.1109/TAES.2018.2883847
9	万显荣. 基于低频段数字广播电视信号的外辐射源雷达发展现状与趋势[J]. 雷达学报, 2012, 1 (2): 109- 123.
	WAN X R . An overview on development of passive radar based on the low frequency band digital broadcasting and TV signals[J]. Journal of Radar, 2012, 1 (2): 109- 123.
10	KUSCHEL H , CRISTALLINI D , OLSEN K E . Tutorial: passive radar tutorial[J]. IEEE Trans.on Aerospace and Electronic Systems, 2019, 34 (2): 2- 19.
11	QU X Y , LI K M , ZHANG Q , et al. Micro-Doppler feature extraction under passive radar based on orthogonal frequency division multiplexing communication signal[J]. The Journal of Engineering, 2019, (20): 6889- 6893.
12	张群, 屈筱钰, 李开明, 等. MMV模型下无源双基雷达低空目标微动特征提取[J]. 华中科技大学学报(自然科学版), 2020, 48 (3): 69- 74.
	ZHANG Q , QU X Y , LI K M , et al. Micro-Doppler feature extraction of low-altitude targets based on MMV model under passive bistatic radar[J]. Journal of Huazhong University of Science and Technology (Natural Science Edition), 2020, 48 (3): 69- 74.
13	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 X R , SHAO Q H , XIA P , 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
14	刘玉琪, 易建新, 万显荣, 等. 数字电视外辐射源雷达多旋翼无人机微多普勒效应实验研究[J]. 雷达学报, 2018, 7 (5): 585- 592.
	LIU Y Q , YI J X , WAN X R , et al. Experimental research on micro-Doppler effect of multi-rotor drone with digital television based passive radar[J]. Journal of Radar, 2018, 7 (5): 585- 592.
15	UMMENHOFER M, LAVAU L C, CRISTALLINI D, et al. UAV micro-Doppler signature analysis using DVB-S based passive radar[C]//Proc. of the International Radar Conference, 2020: 1007-1012.
16	UMMENHOFER M. Validation of wind turbine Doppler signatures in a passive bistatic radar with a point scatterer model[C]//Proc. of the International Applied Computational Electromagnetics Society Symposium, 2019.
17	FIORANELLI F , RITCHIE M , BALLERI A , et al. Experimental analysis of multistatic multiband radar signatures of wind turbines[J]. IET Radar, Sonar & Navigation, 2016, 10 (8): 1400- 1410.
18	DAI J S . Euler-rodrigues formula variations, quaternion conjugation and intrinsic connections[J]. Mechanism and Machine Theory, 2015, 92, 144- 152. doi: 10.1016/j.mechmachtheory.2015.03.004
19	CHEN V C, LIN C T, PALA W P. Time-varying Doppler analysis of electromagnetic backscattering from rotating object[C]//Proc. of the Conference on Radar, 2006: 24-27.
20	WAN X R , YI J X , ZHAO Z X , et al. Experimental research for CMMB-based passive radar under a multipath environment[J]. IEEE Trans.on Aerospace and Electronic Systems, 2014, 50 (1): 70- 85. doi: 10.1109/TAES.2013.120737
21	LV M , YI J X , WAN X R , et al. Target tracking in time-division-multifrequency-based passive radar[J]. IEEE Sensors Journal, 2020, 20 (8): 4382- 4394. doi: 10.1109/JSEN.2020.2964291
22	ZHANG X , YI J X , WAN X R , et al. Reference signal reconstruction under oversampling for DTMB-based passive radar[J]. IEEE Access, 2020, 8, 74024- 74038. doi: 10.1109/ACCESS.2020.2986589
23	YI J X , WAN X R , LI D S , et al. Robust clutter rejection in passive radar via generalized subband cancellation[J]. IEEE Trans.on Aerospace and Electronic Systems, 2018, 54 (4): 1931- 1946. doi: 10.1109/TAES.2018.2805228
24	赵耀东, 吕晓德, 李纪传, 等. 无源雷达多普勒谱分析实现动目标检测的方法[J]. 雷达学报, 2013, 2 (2): 247- 256.
	ZHAO Y D , LYU X D , LI J C , et al. Detection of moving targets based on Doppler spectrum analysis technique for passive coherent radar[J]. Journal of Radar, 2013, 2 (2): 247- 256.
25	李宇倩, 易建新, 万显荣, 等. 外辐射源雷达直升机旋翼参数估计方法[J]. 雷达学报, 2018, 7 (3): 313- 319.
	LI Y Q , YI J X , WAN X R , et al. Helicopter rotor parameter estimation method for passive radar[J]. Journal of Radar, 2018, 7 (3): 313- 319.
26	ZHU L Z , ZHANG S N , MA Q , et al. Classification of UAV-to-ground targets based on enhanced micro-Doppler features extracted via PCA and compressed sensing[J]. IEEE Sensors Journal, 2020, 20 (23): 14360- 14368. doi: 10.1109/JSEN.2020.3008439
27	GOVONI M A. Micro-Doppler signal decomposition of small commercial drones[C]//Proc. of the Radar Conference, 2017: 425-429.
28	CRESPO-BALLESTERO S , ANTONIOU M , CHERNIAKOV M . Wind turbine blade signatures in the near field: modeling and experimental confirmation[J]. IEEE Aerospace and Electronic Systems Magazine, 2017, 53 (4): 1916- 1931. doi: 10.1109/TAES.2017.2675241
29	ZHAO Y C , SU Y . The extraction of micro-Doppler signal with EMD algorithm for radar-based small UAVs' detection[J]. IEEE Trans.on Instrumentation and Measurement, 2019, 69 (3): 929- 940.
30	UYSAL F , SELESNICK I , PILLAI U , et al. Dynamic clutter mitigation using sparse optimization[J]. IEEE Aerospace and Electronic Systems Magazine, 2014, 29 (7): 37- 49. doi: 10.1109/MAES.2014.130137

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外辐射源雷达目标扇叶微多普勒效应实验研究

Experimental study on micro-Doppler effect of target blades in passive radar

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