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稀疏拉伸式L型极化敏感阵列的二维波达方向和极化参数联合估计

马慧慧 陶海红

马慧慧, 陶海红. 稀疏拉伸式L型极化敏感阵列的二维波达方向和极化参数联合估计[J]. 电子与信息学报, 2020, 42(4): 902-909. doi: 10.11999/JEIT190208
引用本文: 马慧慧, 陶海红. 稀疏拉伸式L型极化敏感阵列的二维波达方向和极化参数联合估计[J]. 电子与信息学报, 2020, 42(4): 902-909. doi: 10.11999/JEIT190208
Huihui MA, Haihong TAO. Joint 2D-DOA and Polarization Parameter Estimation with Sparsely Stretched L-shaped Polarization Sensitive Array[J]. Journal of Electronics and Information Technology, 2020, 42(4): 902-909. doi: 10.11999/JEIT190208
Citation: Huihui MA, Haihong TAO. Joint 2D-DOA and Polarization Parameter Estimation with Sparsely Stretched L-shaped Polarization Sensitive Array[J]. Journal of Electronics and Information Technology, 2020, 42(4): 902-909. doi: 10.11999/JEIT190208

稀疏拉伸式L型极化敏感阵列的二维波达方向和极化参数联合估计

doi: 10.11999/JEIT190208
详细信息
    作者简介:

    马慧慧:女,1993年生,博士生,研究方向为极化敏感阵列信号处理、MIMO矢量传感器阵列信号处理

    陶海红:女,1976年生,博士,教授,博士生导师,研究方向为雷达信号处理与检测、高速实时信号处理、阵列信号处理

    通讯作者:

    马慧慧 1981734461@qq.com

  • 中图分类号: TN823; TN911.7

Joint 2D-DOA and Polarization Parameter Estimation with Sparsely Stretched L-shaped Polarization Sensitive Array

  • 摘要:

    为降低现有的共心式矢量传感器阵列天线间存在的严重互耦影响,进一步提高参数估计精度,该文提出一种稀疏拉伸式L型极化敏感阵列(SSL-PSA),并针对该阵列提出一种2维波达方向(DOA)和极化参数联合估计算法。首先建立稀疏拉伸式极化敏感阵列的信号模型,然后将阵列划分为6个子阵,采用子空间旋转不变算法(ESPRIT)算法得到多个旋转不变因子(RIFs),再根据旋转不变因子间的关系,通过数学运算,得到一组方向余弦有模糊精估计值和4组无模糊粗估计值;然后重构出对应的4组导向矢量,根据导向矢量和噪声子空间的正交性,确定出正确的一组无模糊粗估计值;最后通过现有的解模糊方法得到高精度且无模糊的DOA和极化参数估计值。该文所提阵列不存在共心结构,相对于现有的含有共心式矢量传感器结构的阵列,大大降低了互耦影响,且可在不增加天线数目的前提下,有效扩展阵列的2维孔径,大大提高DOA估计精度。仿真结果证明该文所提方法的有效性。

  • 图  1  SSL-PSA的空间结构

    图  2  基于本文算法的信号4维参数估计星座图

    图  3  2维波达方向估计均方根误差随信噪比变化曲线

    图  4  2维波达方向估计均方根误差随快拍数变化曲线

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出版历程
  • 收稿日期:  2019-04-03
  • 修回日期:  2019-12-10
  • 网络出版日期:  2020-01-07
  • 刊出日期:  2020-06-04

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