电子学报 ›› 2017, Vol. 45 ›› Issue (12): 3030-3036.DOI: 10.3969/j.issn.0372-2112.2017.12.028

• 学术论文 • 上一篇    下一篇

雷达动目标短时稀疏分数阶傅里叶变换域检测方法

陈小龙1, 关键1, 于晓涵2, 何友2   

  1. 1. 海军航空工程学院电子信息工程系, 山东烟台 264001;
    2. 海军航空工程学院信息融合研究所, 山东烟台 264001
  • 收稿日期:2017-04-06 修回日期:2017-07-06 出版日期:2017-12-25 发布日期:2017-12-25
  • 作者简介:陈小龙,男.1985年生,山东烟台人.讲师,中国电子学会青年科学家俱乐部成员,主要从事雷达信号处理、动目标检测、杂波抑制等研究工作.承担和参与国家自然科学基金等项目十余项,发表学术论文50余篇,授权国家发明专利15项.获中国电子学会优秀博士学位论文奖、入选中国科协"青年人才托举工程".E-mail:cxlcxl1209@163.com;关键,男.1968年生,辽宁锦州人.教授,博士生导师.主要从事雷达目标检测与跟踪、侦察图像处理和信息融合等研究工作."百千万人才工程"国家级人选,入选教育部新世纪优秀人才支持计划,"泰山学者"特聘教授.E-mail:guanjian96@tsinghua.org.com;于晓涵,女,1991年生,河北沧州人,博士生.研究领域包括雷达动目标检测、稀疏信号处理等.E-mail:yxhyxh0803@163.com;何友,男,1956年10月生,吉林磐石人.中国工程院院士,教授,博士生导师.主要研究领域有雷达目标检测方法、多传感器信息融合、多目标跟踪、分布检测理论及应用、军事大数据等.
  • 基金资助:
    国家自然科学基金(No.61501487,No.61401495,No.U1633122,No.61471382,No.61531020);国防科技基金(No.2102024);航空科学基金(No.20162084005,No.20162084006);中国科协"青年人才托举工程"(No.YESS20160115)和"泰山学者"专项经费资助

Radar Detection for Moving Target in Short-Time Sparse Fractional Fourier Transform Domain

CHEN Xiao-long1, GUAN Jian1, YU Xiao-han2, HE You2   

  1. 1. Department of Electronic and Information Engineering, Naval Aeronautical and Astronautical University, Yantai, Shandong 264001, China;
    2. Institute of Information Fusion, Naval Aeronautical and Astronautical University, Yantai Shandong 264001, China
  • Received:2017-04-06 Revised:2017-07-06 Online:2017-12-25 Published:2017-12-25

摘要: 复杂背景下的动目标检测技术是雷达目标探测的关键技术和难点之一,亟需发展和研究高时频分辨率、大数据量高效以及适用于多分量信号分析的方法和手段.该文结合经典时频分析技术和高分辨稀疏域信号处理的优势,提出短时稀疏分数阶傅里叶变换(ST-SFRFT)并用于雷达动目标检测和参数估计,实现时变信号高分辨时频表示的同时,改善SCR,提高复杂环境下雷达动目标检测的性能.实测对海雷达数据验证表明,所提方法在抗杂波以及参数估计精度等方面较经典时频动目标检测方法有明显优势.

关键词: 雷达动目标检测, 稀疏表示, 时频分析, 分数阶傅里叶变换, 稀疏时频分布

Abstract: Moving target detection in complex environment is one of the key points and difficulties in radar target detection.It is necessary to develop theory and method of high time-frequency resolution,high efficiency for big data,and suitable for multi-signals analysis.In this paper,the concept of short-time sparse fractional Fourier transform (ST-SFRFT) is proposed in association with the advantages of classical time-frequency analysis and high-resolution signal processing in sparse domain.The ST-SFRFT is then used for radar moving target detection and parameter estimation,which can achieve high-resolution representation of time-varying signal and improve signal-to-clutter ratio as well.The detection performance of moving target in complex environment is improved.Real experiment using a marine radar was carried out and the results indicate that the proposed method shows distinct advantages in anti-clutter and parameter estimation over classical time-frequency-based moving target detection methods.

Key words: radar moving target detection, sparse representation, time-frequency analysis, fractional Fourier transform, sparse time-frequency distribution

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