Ultrahigh-resolution ISAR Micro-Doppler Suppression Methodology Based on Variational Mode Decomposition and Mode Optimization

LI Zhongyu; GUI Liang; HAI Yu; WU Junjie; WANG Dangwei; WANG Anle; YANG Jianyu

doi:10.12000/JR24043

Volume 13 Issue 4

Aug. 2024

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Article Navigation > Journal of Radars > 2024 > 13(4): 852-865

LI Chunsheng, YU Ze, and CHEN Jie. Overview of techniques for improving high-resolution spaceborne SAR imaging and image quality[J]. Journal of Radars, 2019, 8(6): 717–731. doi: 10.12000/JR19085

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LI Zhongyu, GUI Liang, HAI Yu, et al. Ultrahigh-resolution ISAR micro-Doppler suppression methodology based on variational mode decomposition and mode optimization[J]. Journal of Radars, 2024, 13(4): 852–865. doi: 10.12000/JR24043

LI Chunsheng, YU Ze, and CHEN Jie. Overview of techniques for improving high-resolution spaceborne SAR imaging and image quality[J]. Journal of Radars, 2019, 8(6): 717–731. doi: 10.12000/JR19085

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Ultrahigh-resolution ISAR Micro-Doppler Suppression Methodology Based on Variational Mode Decomposition and Mode Optimization

DOI: 10.12000/JR24043

LI Zhongyu^{1
,
,},
GUI Liang^{1
,
,},
HAI Yu¹,
WU Junjie¹,
WANG Dangwei²,
WANG Anle²,
YANG Jianyu¹

1.
School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
2.
Air Force Early Warning Academy, Wuhan 430019, China

Funds: The National Natural Science Foundation of China (62171084), The Municipal Government of Quzhou (2022D014)

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Corresponding author: LI Zhongyu, zhongyu_li@uestc.edu.cn; GUI Liang, lianggui46@qq.com
Received Date: 2024-03-20
Rev Recd Date: 2024-05-24

Available Online: 2024-05-31

Publish Date: 2024-06-19

Abstract

Abstract

The imaging of aerial targets using Inverse Synthetic Aperture Radar (ISAR) is affected by micro-Doppler effects resulting from localized micromotions, such as rotation and vibration. These effects introduce additional Doppler frequency modulation into the echo, leading to spectral broadening. Under ultrahigh-resolution conditions, these micromotions interfere with the focusing process of subject scatterers, resulting in images with poor focus showing significantly reduced quality. Furthermore, micro-Doppler signals exhibit temporal variability and nonstationary characteristics, posing difficulties in their estimation and differentiation from the echo. To address these challenges, this paper proposes a nonparametric method based on Variational Mode Decomposition (VMD) and mode optimization to separate the echo of the subject from micro-Doppler components. This separation is achieved by utilizing differences in their respective time-frequency distributions. This methodology mitigates the effect of micro-Doppler signals on the echo and obtains imaging results of a drone with ultrahigh-resolution. The VMD algorithm is introduced and subsequently extended to the complex domain. The method entails the decomposition of the ISAR echo along the azimuth direction into several mode functions distributed uniformly across the Doppler sampling bandwidth. Subsequently, image entropy indices are employed to optimize the decomposition parameters and select the imaging modes. This ensures the effective suppression of micro-Doppler signals and preservation of the subject echo. Compared to existing methods based on Empirical Mode Decomposition (EMD) and Local Mean Decomposition (LMD), the proposed method exhibits superior performance in suppressing image blurring caused by micro-Doppler effects while ensuring complete retention of fuselage details. Furthermore, the effectiveness and advantages of the proposed method are validated through simulations and processing of ultrawideband microwave photonic data obtained from drone measurements.
- Inverse Synthetic Aperture Rada (ISAR),
- Micro-Doppler,
- Variable Mode Decomposition (VMD),
- Entropy minimization,
- Time-frequency analysis

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References

[1]	保铮, 邢孟道, 王彤. 雷达成像技术[M]. 北京: 电子工业出版社, 2005: 239–241. BAO Zheng, XING Mengdao, and WANG Tong. Radar Imaging Techniques[M]. Beijing: Publishing House of Electronics Industry, 2005: 239–241.
[2]	李源. 逆合成孔径雷达理论与对抗[M]. 北京: 国防工业出版社, 2013: 48–55. LI Yuan. Inverse Synthetic Aperture Radar Theory and Confrontation[M]. Beijing: National Defense Industry Press, 2013: 48–55.
[3]	杨建宇. 雷达技术发展规律和宏观趋势分析[J]. 雷达学报, 2012, 1(1): 19–27. doi: 10.3724/SP.J.1300.2013.20010. YANG Jianyu. Development laws and macro trends analysis of radar technology[J]. Journal of Radars, 2012, 1(1): 19–27. doi: 10.3724/SP.J.1300.2013.20010.
[4]	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.
[5]	LIU Zheng and SUN Huixia. Micro-Doppler analysis and application of radar targets[C]. IEEE International Conference on Information and Automation, Changsha, China, 2008: 1343–1347. doi: 10.1109/ICINFA.2008.4608210.
[6]	张群, 罗迎, 何劲. 雷达目标微多普勒效应研究概述[J]. 空军工程大学学报: 自然科学版, 2011, 12(2): 22–26. doi: 10.3969/j.issn.1009-3516.2011.02.005. ZHANG Qun, LUO Ying, and HE Jin. Overview of research on micro-Doppler effect of radar targets[J]. Journal of Air Force Engineering University: Natural Science Edition, 2011, 12(2): 22–26. doi: 10.3969/j.issn.1009-3516.2011.02.005.
[7]	CHEN V C. Analysis of radar micro-Doppler with time-frequency transform[C]. The 10th IEEE Workshop on Statistical Signal and Array Processing, Pocono Manor, USA, 2000: 463–466. doi: 10.1109/SSAP.2000.870167.
[8]	WANG Anle, ZHENG Daikun, DU Shirui, et al. Microwave photonic radar system with ultra-flexible frequency-domain tunability[J]. Optics Express, 2021, 29(9): 13887–13898. doi: 10.1364/OE.423952.
[9]	LUO Xiong, WANG Anle, WO Jianghai, et al. Microwave photonic video imaging radar with widely tunable bandwidth for monitoring diverse airspace targets[J]. Optics Communications, 2019, 451: 296–300. doi: 10.1016/j.optcom.2019.06.073.
[10]	CHEN V C, TAHMOUSH D, and MICELI W J. Radar Micro-Doppler Signatures: Processing and Applications[M]. Stevenage: The Institution of Engineering and Technology, 2014: 187–225. doi: 10.1049/pbra034e.
[11]	CHEN V C, LI Fayin, 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.
[12]	TUSZYNSKI M, WOJTKIEWICZ A, and KLEMBOWSKI W. Bimodal clutter MTI filter for staggered PRF radars[C]. IEEE International Conference on Radar, Arlington, USA, 1990: 176–180. doi: 10.1109/RADAR.1990.201158.
[13]	万显荣, 谢德强, 易建新, 等. 基于STFT谱图滑窗相消的微动杂波去除方法[J]. 雷达学报, 2022, 11(5): 794–804. doi: 10.12000/JR22157. WAN Xianrong, XIE Deqiang, YI Jianxin, et al. Micro-Doppler clutter removal method based on the cancelation of sliding STFT spectrogram[J]. Journal of Radars, 2022, 11(5): 794–804. doi: 10.12000/JR22157.
[14]	WANG Yong, ZHOU Xingyu, LU Xiaofei, et al. An approach of motion compensation and ISAR imaging for micro-motion targets[J]. Journal of Systems Engineering and Electronics, 2021, 32(1): 68–80. doi: 10.23919/JSEE.2021.000008.
[15]	何其芳, 张群, 罗迎, 等. 正弦调频Fourier-Bessel变换及其在微动目标特征提取中的应用[J]. 雷达学报, 2018, 7(5): 593–601. doi: 10.12000/JR17069. HE Qifang, ZHANG Qun, LUO Ying, et al. A sinusoidal frequency modulation Fourier-Bessel transform and its application to micro-Doppler feature extraction[J]. Journal of Radars, 2018, 7(5): 593–601. doi: 10.12000/JR17069.
[16]	符吉祥, 邢孟道, 徐丹, 等. 一种基于微波光子超高分辨雷达机翼振动参数估计方法[J]. 雷达学报, 2019, 8(2): 232–242. doi: 10.12000/JR19001. FU Jixiang, XING Mengdao, XU Dan, et al. Vibration-parameters estimation method for airplane wings based on microwave-photonics ultrahigh-resolution radar[J]. Journal of Radars, 2019, 8(2): 232–242. doi: 10.12000/JR19001.
[17]	STANKOVIC L, DJUROVIC I, and THAYAPARAN T. Separation of target rigid body and micro-Doppler effects in ISAR imaging[J]. IEEE Transactions on Aerospace and Electronic Systems, 2006, 42(4): 1496–1506. doi: 10.1109/TAES.2006.314590.
[18]	LI Kaiming, LIANG Xianjiao, ZHANG Qun, et al. Micro-Doppler signature extraction and ISAR imaging for target with micromotion dynamics[J]. IEEE Geoscience and Remote Sensing Letters, 2011, 8(3): 411–415. doi: 10.1109/LGRS.2010.2081660.
[19]	CHOI I, KANG K, KIM K, et al. Use of ICA to separate micro-Doppler signatures in ISAR images of aircraft that has fast-rotating parts[J]. IEEE Transactions on Aerospace and Electronic Systems, 2022, 58(1): 234–246. doi: 10.1109/TAES.2021.3098110.
[20]	BAI Xueru, XING Mengdao, ZHOU Feng, et al. Imaging of micromotion targets with rotating parts based on empirical-mode decomposition[J]. IEEE Transactions on Geoscience and Remote Sensing, 2008, 46(11): 3514–3523. doi: 10.1109/TGRS.2008.2002322.
[21]	FLANDRIN P, RILLING G, and GONCALVES P. Empirical mode decomposition as a filter bank[J]. IEEE Signal Processing Letters, 2004, 11(2): 112–114. doi: 10.1109/LSP.2003.821662.
[22]	GAO Yunchao, GE Guangtao, SHENG Zhengyan, et al. Analysis and solution to the mode mixing phenomenon in EMD[C]. International Congress on Image and Signal Processing, Sanya, China, 2008: 223–227. doi: 10.1109/CISP.2008.193.
[23]	YUAN Bin, CHEN Zengping, and XU Shiyou. Micro-Doppler analysis and separation based on complex local mean decomposition for aircraft with fast-rotating parts in ISAR imaging[J]. IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(2): 1285–1298. doi: 10.1109/TGRS.2013.2249588.
[24]	DRAGOMIRETSKIY K and ZOSSO D. Variational mode decomposition[J]. IEEE Transactions on Signal Processing, 2014, 62(3): 531–544. doi: 10.1109/TSP.2013.2288675.
[25]	杨利超. 超高分辨ISAR成像技术研究[D]. [博士论文], 西安电子科技大学, 2021. doi: 10.27389/d.cnki.gxadu.2021.000089. YANG Lichao. Study on ISAR ultrahigh-resolution imaging techniques[D]. [Ph.D. dissertation], Xidian University, 2021. doi: 10.27389/d.cnki.gxadu.2021.000089.
[26]	邵帅. 高分辨ISAR成像与精细化运动补偿技术研究[D]. [博士论文], 西安电子科技大学, 2020. doi: 10.27389/d.cnki.gxadu.2020.003431. SHAO Shuai. Study on high resolution ISAR imaging and fine motion compensation techniques[D]. [Ph.D. dissertation], Xidian University, 2020. doi: 10.27389/d.cnki.gxadu.2020.003431.
[27]	YANG Degui, LI Jin, LIANG Buge, et al. A multi-rotor drone micro-motion parameter estimation method based on CVMD and SVD[J]. Remote Sensing, 2022, 14(14): 3326. doi: 10.3390/rs14143326.
[28]	DAS S and SUGANTHAN P N. Differential evolution: A survey of the state-of-the-art[J]. IEEE Transactions on Evolutionary Computation, 2011, 15(1): 4–31. doi: 10.1109/TEVC.2010.2059031.
[29]	EICHEL P H and JAKOWATZ C V. Phase-gradient algorithm as an optimal estimator of the phase derivative[J]. Optics Letters, 1989, 14(20): 1101–1103. doi: 10.1364/OL.14.001101.

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Ultrahigh-resolution ISAR Micro-Doppler Suppression Methodology Based on Variational Mode Decomposition and Mode Optimization

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Ultrahigh-resolution ISAR Micro-Doppler Suppression Methodology Based on Variational Mode Decomposition and Mode Optimization

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