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基于均匀圆阵的近场源定位技术研究进展

刘振 陈鑫 苏晓龙 户盼鹤 刘天鹏 彭勃 刘永祥

刘振, 陈鑫, 苏晓龙, 户盼鹤, 刘天鹏, 彭勃, 刘永祥. 基于均匀圆阵的近场源定位技术研究进展[J]. 电子与信息学报, 2023, 45(2): 734-745. doi: 10.11999/JEIT211474
引用本文: 刘振, 陈鑫, 苏晓龙, 户盼鹤, 刘天鹏, 彭勃, 刘永祥. 基于均匀圆阵的近场源定位技术研究进展[J]. 电子与信息学报, 2023, 45(2): 734-745. doi: 10.11999/JEIT211474
LIU Zhen, CHEN Xin, SU Xiaolong, HU Panhe, LIU Tianpeng, PENG Bo, LIU Yongxiang. Progress in Near-field Source Localization via Uniform Circular Array[J]. Journal of Electronics & Information Technology, 2023, 45(2): 734-745. doi: 10.11999/JEIT211474
Citation: LIU Zhen, CHEN Xin, SU Xiaolong, HU Panhe, LIU Tianpeng, PENG Bo, LIU Yongxiang. Progress in Near-field Source Localization via Uniform Circular Array[J]. Journal of Electronics & Information Technology, 2023, 45(2): 734-745. doi: 10.11999/JEIT211474

基于均匀圆阵的近场源定位技术研究进展

doi: 10.11999/JEIT211474
基金项目: 国家重点研发计划(2021YFB3100800),国家自然科学基金(62022091, 61921001, 61801488),湖湘青年科技创新人才项目(2021RC3079),国防科技大学科研计划项目(ZK21-14)
详细信息
    作者简介:

    刘振:男,教授,博士,研究方向为雷达目标识别与对抗、阵列信号处理和机器学习

    陈鑫:男,助理研究员,博士,研究方向为阵列信号处理和无源定位

    苏晓龙:男,博士生,研究方向为阵列信号处理和深度学习

    户盼鹤:副教授,博士,研究方向为雷达系统设计、阵列信号处理和深度学习

    刘天鹏:男,副研究员,博士,研究方向为雷达信号处理、电子对抗和交叉眼干扰

    彭勃:男,副研究员,博士,研究方向为信号处理、微动谱特性分析和模式识别

    刘永祥:男,教授,博士,研究方向为雷达目标识别、雷达微动特性和阵列信号处理

    通讯作者:

    刘振 zhen_liu@nudt.edu.cn

  • 中图分类号: TN911.7

Progress in Near-field Source Localization via Uniform Circular Array

Funds: The National Key Research and Development Program of China (2021YFB3100800), The National Natural Science Foundation of China (62022091, 61921001, 61801488), The Science and Technology Innovation Program of Hunan Province (2021RC3079), The Research Program of National University of Defense Technology (ZK21-14)
  • 摘要: 近场源定位在雷达、声呐和通信中发挥着重要的作用。该文利用均匀圆阵的阵列结构优势,系统梳理了窄带近场源定位方法以及解模糊方法,并在此基础上从时域、频域、分数阶傅里叶域等方面阐述了近场线性调频(LFM)信号的方位角、俯仰角和距离等3维位置参数快速精确估计方法。最后,对相干辐射源和近远场混合源参数估计等后续研究内容进行了展望。
  • 图  1  均匀圆阵下近场源定位场景示意图

    图  2  近场LFM信号3维位置参数估计的RMSE

    表  1  单次运行平均时间对比(s)

    基于均匀圆阵的近场LFM信号定位算法时间
    基于聚焦变换的算法2.98e-02
    基于分数阶傅里叶变换的算法2.74
    基于时延的算法2.02e-02
    ISSM-3DMUSIC算法29.38
    下载: 导出CSV
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  • 收稿日期:  2021-12-09
  • 修回日期:  2022-07-21
  • 网络出版日期:  2022-07-26
  • 刊出日期:  2023-02-07

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