通信学报 ›› 2019, Vol. 40 ›› Issue (7): 38-47.doi: 10.11959/j.issn.1000-436x.2019140

• 学术论文 • 上一篇    下一篇

高效的MIMO雷达运动目标三维成像方法

王伟,胡子英,岳佳男   

  1. 哈尔滨工程大学自动化学院,黑龙江 哈尔滨 150001
  • 修回日期:2019-06-10 出版日期:2019-07-25 发布日期:2019-07-30
  • 作者简介:王伟(1979- ),男,安徽淮北人,博士,哈尔滨工程大学教授,主要研究方向为MIMO 雷达信号处理、组合导航系统和无线电导航。|胡子英(1994- ),男,山东济南人,哈尔滨工程大学博士生,主要研究方向为MIMO雷达信号处理及稀疏成像技术。|岳佳男(1995- ),女,黑龙江哈尔滨人,哈尔滨工程大学硕士生,主要研究方向为massive MIMO下的信道估计。
  • 基金资助:
    国家自然科学基金资助项目(61571148);国家自然科学基金资助项目(61871143);中央高校基本科研业务费专项资金资助项目(HEUCFG201823);中央高校基本科研业务费专项资金资助项目(3072019CF0402);黑龙江省自然科学基金资助项目(LH2019F006);哈尔滨市应用技术研究与开发基金资助项目(2017R-AQXJ095)

Efficient 3D imaging method of MIMO radar for moving target

Wei WANG,Ziying HU,Jia’nan YUE   

  1. College of Automation,Harbin Engineering University,Harbin 150001,China
  • Revised:2019-06-10 Online:2019-07-25 Published:2019-07-30
  • Supported by:
    The National Natural Science Foundation of China(61571148);The National Natural Science Foundation of China(61871143);The Fundamental Research Funds for the Central Universities(HEUCFG201823);The Fundamental Research Funds for the Central Universities(3072019CF0402);The Natural Science Foundation of Heilongjiang Province(LH2019F006);The Research and Development Project of Application Technology in Harbin(2017R-AQXJ095)

摘要:

利用压缩感知实现运动目标的稀疏成像时,运动引起的多普勒频移会增加模型维度,改变回波的中心频率,并影响测量矩阵的互相干特性。为了改善MIMO雷达对运动目标的三维成像性能,提出了一种高效的成像方法,在各维分别搜索目标的分布信息,并由该信息作为索引重构新的低维测量矩阵,借此缩小目标区域范围,同时基于测量矩阵的互相干性,应用贝叶斯方法实现多普勒维度投影矩阵的优化,降低多普勒频率采样带来的强相干性,实现高效稀疏成像。仿真结果表明,所提方法可以明显地提升运算效率,具有高效精确的成像性能。

关键词: 多输入多输出雷达, 运动目标, 多普勒频率, 三维成像, 算法效率, 互相干性

Abstract:

When compressive sensing (CS) was used to achieve sparse imaging of moving targets,the Doppler frequency caused by motion will increase the processing dimension,change the center frequency of echo and worsen the mutual coherence property of measurement matrix.In order to improve the three-dimensional (3D) imaging performance of MIMO radar for moving targets,an efficient method was proposed.In each dimension,the distribution information of targets was searched respectively and a new low-dimensional measurement matrix was reconstructed accordingly,so the targets’ area was narrowed down.At the same time,in order to optimize the mutual coherence property of measurement matrix,Bayesian method was used to optimize the velocity-dimensional projection matrix to reduce the strong mutual coherence brought by sampling of Doppler frequency,then the efficient sparse imaging could be achieved.The simulation results show that proposed method can improve the efficiency,accurate imaging performance with efficient.

Key words: MIMO radar, moving target, Doppler frequency, three-dimensional imaging, method efficiency

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