通信学报 ›› 2019, Vol. 40 ›› Issue (8): 72-84.doi: 10.11959/j.issn.1000-436x.2019156

• 学术论文 • 上一篇    下一篇

雷达海上机动目标高分辨稀疏分数阶模糊函数检测方法

于晓涵,陈小龙(),关键,黄勇   

  1. 海军航空大学,山东 烟台 264001
  • 修回日期:2019-06-17 出版日期:2019-08-25 发布日期:2019-08-30
  • 作者简介:于晓涵(1991- ),女,河北沧州人,海军航空大学博士生,主要研究方向为雷达动目标检测、稀疏信号处理。|陈小龙(1985- ),男,山东烟台人,博士,海军航空大学副教授,主要研究方向为智能雷达信号处理、动目标检测、杂波抑制等。|关键(1968- ),男,辽宁锦州人,博士,海军航空大学教授,主要研究方向为雷达目标检测与跟踪、侦察图像处理和信息融合等。|黄勇(1979- ),男,湖南汨罗人,博士,海军航空大学副教授,主要研究方向为雷达信号处理。
  • 基金资助:
    国家自然科学基金资助项目(61871391);国家自然科学基金资助项目(U1633122);国家自然科学基金资助项目(61871392);国家自然科学基金资助项目(61531020);国防科技基金资助项目(2102024);山东省高校科研发展计划基金资助项目(J17KB139);中国科协“青年人才托举工程”专项经费基金资助项目(YESS20160115)

Radar marine maneuvering target detection via high resolution sparse fractional ambiguity function

Xiaohan YU,Xiaolong CHEN(),Jian GUAN,Yong HUANG   

  1. Naval Aviation University,Yantai 264001,China
  • Revised:2019-06-17 Online:2019-08-25 Published:2019-08-30
  • Supported by:
    The National Natural Science Foundation of China(61871391);The National Natural Science Foundation of China(U1633122);The National Natural Science Foundation of China(61871392);The National Natural Science Foundation of China(61531020);National Defense Technology Funds(2102024);Project of Shandong Province Higher Educational Science and Technology Program(J17KB139);The Special Funds of Young Talents Program of CAST(YESS20160115)

摘要:

针对复杂海洋背景中高机动目标的快速检测问题,提出了一种基于稀疏分数阶模糊函数(SFRAF)的雷达目标检测算法,所提算法在瞬时自相关函数计算后引入稀疏傅里叶变换(SFT),结合了 SFT 和分数阶模糊函数(FRAF)的优势,因此,SFRAF对高机动信号具有较好的处理效果,同时能够获得较低的计算复杂度。仿真实验和实测数据处理结果表明,相比于经典检测方法,所提方法能够明显改善机动目标的检测性能,而相比于FRAF,所提方法能够实现检测效率的有效提升。

关键词: 海上动目标检测, 高阶相位信号, 稀疏傅里叶变换, 稀疏分数阶模糊函数

Abstract:

To solve the problem of fast detection of high maneuvering targets in complex ocean background,a radar target detection algorithm via sparse fractional ambiguity function (SFRAF) was proposed.The sparse Fourier transform (SFT) was introduced after instantaneous autocorrelation function calculation,which combines the advantages of SFT and fractional ambiguity function (FRAF).Therefore,SFRAF has good processing performance on high maneuvering signals and can achieve lower computational complexity.The simulation experiments and the measured data processing results show that compared with classical detection method,the detection performance of maneuvering target can be significantly improved,and compared with FRAF,the proposed method can achieve higher detection efficiency.

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