应用分数低阶循环相关估计单电磁矢量传感器的波达方向和极化参数

石屹然; 赵晓晖; 李新波; 石要武

doi:10.3788/OPE.20162407.1818

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应用分数低阶循环相关估计单电磁矢量传感器的波达方向和极化参数

信息科学 | 更新时间：2020-08-13

- 应用分数低阶循环相关估计单电磁矢量传感器的波达方向和极化参数
- Estimation of DOA and polarition parameters for single electromagnetic vector sensor based on FLOCC
- 光学精密工程 2016年24卷第7期页码：1818-1826
- 作者机构：
  
  1.吉林大学通信工程学院, 吉林长春 130022
  2.长春气象仪器研究所, 吉林长春 130012
  3.吉林大学生物与农业工程学院, 吉林长春 130022
- 作者简介：
  
  [ "石屹然(1984-), 男, 吉林长春人, 博士后, 讲师, 2010年于兰州理工大学获得硕士学位, 2014年于吉林大学获得博士学位, 现为吉林大学通信工程学院讲师, 长春气象仪器研究所博士后, 主要从事谐波恢复, ARMA参数辨识, DOA及极化参数估计, 非线性模型预测控制等方面的研究。E-mail:shiyiran@jlu.edu.cn" ]
  [ "赵晓晖(1957-), 男, 吉林长春人, 教授, 博士生导师, 1982年、1989年于吉林工业大学分别获得学士、硕士学位, 1993年于法国贡比涅科技大学获得博士学位, 现为吉林大学通信工程学院院长, 主要从事信号处理理论及在通信中的应用研究。E-mail:xhzhao@jlu.edu.cn" ]
- 基金信息：
  
  国家自然科学基金资助项目(No.61571209)
- DOI：10.3788/OPE.20162407.1818
  中图分类号： TP212.13;TN911.23
- 收稿日期：2016-03-03，
  
  录用日期：2016-4-8，
  
  纸质出版日期：2016-06
- 稿件说明：
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石屹然, 赵晓晖, 李新波, 等. 应用分数低阶循环相关估计单电磁矢量传感器的波达方向和极化参数[J]. 光学精密工程, 2016,24(7):1818-1826.

Yi-ran SHI, Xiao-hui ZHAO, Xin-bo LI, et al. Estimation of DOA and polarition parameters for single electromagnetic vector sensor based on FLOCC[J]. Optics and precision engineering, 2016, 24(7): 1818-1826.
石屹然, 赵晓晖, 李新波, 等. 应用分数低阶循环相关估计单电磁矢量传感器的波达方向和极化参数[J]. 光学精密工程, 2016,24(7):1818-1826. DOI： 10.3788/OPE.20162407.1818.

Yi-ran SHI, Xiao-hui ZHAO, Xin-bo LI, et al. Estimation of DOA and polarition parameters for single electromagnetic vector sensor based on FLOCC[J]. Optics and precision engineering, 2016, 24(7): 1818-1826. DOI： 10.3788/OPE.20162407.1818.

摘要

提出了一种在

和高斯混合噪声以及循环平稳干扰并存背景下基于分数低阶循环相关(FLOCC)联合估计单电磁矢量传感器波达方向(DOA)和极化参数的多重信号分类(MUSIC)方法。该方法利用信号的循环平稳特性，采用分数低阶循环相关函数抑制

和高斯混合噪声以及循环平稳干扰信号；然后利用MUSIC方法对单电磁矢量传感器的DOA和极化参数进行联合估计，并利用DOA参数与极化参数的相互独立性，将传统MUSIC方法的四维搜索简化为两次二维搜索

从而有效地减少该算法的计算量。对所提算法与基于分数低阶矩的MUSIC算法进行了实验对比。结果显示：提出的方法可充分地抑制与待测信号循环频率相异的任意循环平稳干扰信号；在

和高斯混合信噪比为0 dB，信干比为3 dB时，估计得到的DOA和极化参数的均方根误差分别为0.3°和0.7°，明显优于基于分数低阶矩的MUSIC方法。

Abstract

A Fractional Lower Order Cyclic Correlation (FLOCC)-based MUSIC method was proposed for estimation of the Direction of Arrival (DOA) and polarization parameters for a single electromagnetic vector sensor in mixed

and Gaussian noises and cycle stable interference signals. On the basis of the cyclic stability of signals

the FLOCC function was used to suppress the cyclic stationary disturbance signal and the mixed

and Gaussian noises. Then

MUSIC method was used to estimate the DOA and polarization parameters of the single electromagnetic vector sensor

and the mutual independence between the DOA parameters and the polarization parameters was used to simplify the four dimensional search of traditional MUSIC method into two times of two dimensional search to reduce the calculated amount of the algorithm. The proposed algorithm was compared with the traditional MUSIC method based on fractional lower order moment in the simulation. The results show that the proposed method can sufficiently suppress any of cyclic stationary disturbances with different cycle frequencies. When the mixed signal to noise ratio of

and Gaussian noises is 0 dB and the signal to interference ratio is 3 dB

the root mean square error of the estimation of DOA and polarization parameters is 0.3° and 0.7°

respectively

being superior to that of the traditional MUSIC method.

关键词

Keywords

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