电磁矢量互质阵中基于降维Capon的DOA和极化估计算法
作者:
作者单位:

作者简介:

张小飞(1977-),男,教授,博士生导师,研究方向:阵列信号处理、移动通信技术,E-mail:zhangxiaofei@nuaa.edu.cn;汪云飞(1996-),女,硕士研究生,研究方向:阵列信号处理。

通讯作者:

基金项目:

国家自然科学基金(61371169,61601167)资助项目。


DOA and Polarization Estimation for Electromagnetic Vector Sensor Coprime Array via Reduced-Dimension Capon
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
    摘要:

    将传统电磁矢量均匀阵列推广为电磁矢量互质阵列,突破了阵元间距不大于半波长的限制。提出了电磁矢量互质阵列中基于降维Capon的波达方向(Direction of arrival,DOA)和极化联合估计算法。该算法无需假设已知极化信息,且只需一维搜索,避免了多维搜索,可实现DOA和极化参数自动配对;与相同阵元数的均匀阵列相比,明显提高了角度估计性能,并拓展了天线孔径,具有相对较高的自由度,且降低了运算复杂度。相同阵列及参数条件下,本文算法的角度估计性能优于ESPRIT算法和三线性分解算法。

    Abstract:

    This paper generalizes the traditional electromagnetic vector uniform array as an electromagnetic vector coprime array, and breaks the limit that the spacing between array elements is not more than half a wavelength. A direction of arrival (DOA) and polarization estimation algorithm is proposed for electromagnetic vector sensor coprime array via reduced-dimension Capon. The proposed algorithm does not need to assume that the polarization information is known, and only one-dimensional search is needed to avoid multi-dimensional search and enables automatic matching of DOA and polarization parameters. Compared with a uniform array with the same array element number, it significantly improves the angle estimates performance, and expands the antenna aperture. It also has a relatively high degree of freedom and lower complexity. Under the condition of same array and parameters, the angle estimation performance of the proposed algorithm is better than that of the ESPRIT algorithm and the trilinear decomposition algorithm.

    参考文献
    相似文献
    引证文献
引用本文

张小飞, 沈金清, 汪云飞.电磁矢量互质阵中基于降维Capon的DOA和极化估计算法[J].数据采集与处理,2018,33(6):953-961

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
历史
  • 收稿日期:2018-07-08
  • 最后修改日期:2018-09-12
  • 录用日期:
  • 在线发布日期: 2018-12-06