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

doi:10.11959/j.issn.1000-436x.2019156

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雷达海上机动目标高分辨稀疏分数阶模糊函数检测方法

学术论文 | 更新时间：2024-06-05

- 雷达海上机动目标高分辨稀疏分数阶模糊函数检测方法
- Radar marine maneuvering target detection via high resolution sparse fractional ambiguity function
- 通信学报 2019年40卷第8期页码：72-84
- 作者机构：
  
  海军航空大学，山东烟台 264001
- 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。" ]
- 基金信息：
  
  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)
- DOI：10.11959/j.issn.1000-436x.2019156
  中图分类号： TN957.51
- 网络出版日期：2019-08，
  
  纸质出版日期：2019-08-25
- 稿件说明：
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于晓涵, 陈小龙, 关键, 等. 雷达海上机动目标高分辨稀疏分数阶模糊函数检测方法[J]. 通信学报, 2019,40(8):72-84.

Xiaohan YU, Xiaolong CHEN, Jian GUAN, et al. Radar marine maneuvering target detection via high resolution sparse fractional ambiguity function[J]. Journal on communications, 2019, 40(8): 72-84.
于晓涵, 陈小龙, 关键, 等. 雷达海上机动目标高分辨稀疏分数阶模糊函数检测方法[J]. 通信学报, 2019,40(8):72-84. DOI： 10.11959/j.issn.1000-436x.2019156.

Xiaohan YU, Xiaolong CHEN, Jian GUAN, et al. Radar marine maneuvering target detection via high resolution sparse fractional ambiguity function[J]. Journal on communications, 2019, 40(8): 72-84. DOI： 10.11959/j.issn.1000-436x.2019156.

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。

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.

关键词

Keywords

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