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基于短时稀疏时频分布的雷达目标微动特征提取及检测方法

陈小龙 关键 于晓涵 何友

陈小龙, 关键, 于晓涵, 何友. 基于短时稀疏时频分布的雷达目标微动特征提取及检测方法[J]. 电子与信息学报, 2017, 39(5): 1017-1023. doi: 10.11999/JEIT161040
引用本文: 陈小龙, 关键, 于晓涵, 何友. 基于短时稀疏时频分布的雷达目标微动特征提取及检测方法[J]. 电子与信息学报, 2017, 39(5): 1017-1023. doi: 10.11999/JEIT161040
CHEN Xiaolong, GUAN Jian, YU Xiaohan, HE You. Radar Micro-Doppler Signature Extraction and Detection via Short-time Sparse Time-frequency Distribution[J]. Journal of Electronics and Information Technology, 2017, 39(5): 1017-1023. doi: 10.11999/JEIT161040
Citation: CHEN Xiaolong, GUAN Jian, YU Xiaohan, HE You. Radar Micro-Doppler Signature Extraction and Detection via Short-time Sparse Time-frequency Distribution[J]. Journal of Electronics and Information Technology, 2017, 39(5): 1017-1023. doi: 10.11999/JEIT161040

基于短时稀疏时频分布的雷达目标微动特征提取及检测方法

doi: 10.11999/JEIT161040
基金项目: 

国家自然科学基金(61501487, 61401495, U1633122, 61471382, 61531020);山东省自然科学基金(2015ZRA06052);航空基金(20162084005, 20162084006, 20150184003);泰山学者和中国科协青年人才托举工程专项经费资助

Radar Micro-Doppler Signature Extraction and Detection via Short-time Sparse Time-frequency Distribution

Funds: 

The National Natural Science Foundation of China (61501487, 61401495, U1633122, 61471382, 61531020), The Natural Science Foundation of Shandong Province (2015ZRA 06052), The Aeronautical Science Foundation of China (20162084005, 20162084006, 20150184003), The Special Funds of Taishan Scholars of Shandong and Young Elite Scientist Program of CAST

  • 摘要: 为有效提高强杂波及目标复杂运动特性条件下的雷达动目标探测能力,该文结合时频分布(TFD)类动目标检测和稀疏表示方法的优势,建立了短时稀疏TFD(ST-STFD)原理框架,提出短时稀疏傅里叶变换(ST-SFT)和短时稀疏分数阶傅里叶变换(ST-SFRFT)雷达动目标检测方法,并应用于海上目标微动特征提取及检测中。实测雷达数据验证表明,该方法在时间-稀疏域能够实现时变信号的高分辨低复杂度时频表示,具有运算效率高、时频分辨好、抗杂波等优点,为进一步提升雷达杂波抑制和动目标检测能力提供了新的思路和途径。
  • SIMON W, LUKE R, STEPJEN B, et al. Doppler spectra of medium grazing angle sea clutter; Part 1: Characterisation[J]. IET Radar, Sonar Navigation, 2016, 10(1): 24-31. doi: 10.1049/iet-rsn.2015.0148.
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    CHEN Xiaolong, DONG Yonglong, HUANG Yong, et al. Detection of marine target with quadratic modulated frequency micromotion signature via morphological component analysis[C]. 2015 3rd International Workshop on Compressed Sensing Theory and Its Applications to Radar, Sonar and Remote Sensing (CoSeRa), Pisa, Italy, 2015, 209-213. doi: 10.1109/CoSeRa.2015.7330294.
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    CHEN Xiaolong, GUAN Jian, BAO Zhonghua, et al. Detection and extraction of target with micro-motion in spiky sea clutter via short-time fractional Fourier transform [J]. IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(2): 1002-1018. doi: 10.1109/TGRS.2013.2246574.
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出版历程
  • 收稿日期:  2016-10-08
  • 修回日期:  2017-01-13
  • 刊出日期:  2017-05-19

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