采用空间极化时频分布的跳频信号多参数联合估计算法

张东伟 1; 郭英 1; 2; 齐子森 1; 张坤峰 1; 张波 1; 侯文林 1

doi:10.7652/xjtuxb201508004

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采用空间极化时频分布的跳频信号多参数联合估计算法

更新时间：2025-07-09

- 采用空间极化时频分布的跳频信号多参数联合估计算法
- A Joint Estimation Algorithm of Multiple Parameters for Frequency Hopping Signals Using Spatial Polarimetric Time Frequency Distributions
- 西安交通大学学报 2015年49卷第8期页码：17-23
- 作者机构：
  
  空军工程大学信息与导航学院,西安,710077
- 作者简介：
- 基金信息：
  
  : 2014-11-26。作者简介: 张东伟(1987—),男,博士生;郭英(通信作者),女,教授,博士生导师。基金项目: 国家自然科学基金资助项目(61072148);通信网信息传输与分发技术重点实验室基金资助项目(ITD-U12003/K1260009)
- DOI：10.7652/xjtuxb201508004
  中图分类号： TN911.7
- 网络首发：2015-08-10，
  
  纸质出版：2015
- 稿件说明：
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张东伟 1, 郭英 1, 2, 等. 采用空间极化时频分布的跳频信号多参数联合估计算法[J]. 西安交通大学学报, 2015,49(8):17-23.

A Joint Estimation Algorithm of Multiple Parameters for Frequency Hopping Signals Using Spatial Polarimetric Time Frequency Distributions[J]. 2015, 49(8): 17-23.
张东伟 1, 郭英 1, 2, 等. 采用空间极化时频分布的跳频信号多参数联合估计算法[J]. 西安交通大学学报, 2015,49(8):17-23. DOI： 10.7652/xjtuxb201508004.

A Joint Estimation Algorithm of Multiple Parameters for Frequency Hopping Signals Using Spatial Polarimetric Time Frequency Distributions[J]. 2015, 49(8): 17-23. DOI： 10.7652/xjtuxb201508004.

摘要

为了在欠定条件下利用信号二维波达方向(2D-DOA)与极化状态进行跳频(FH)网台分选和信号识别、跟踪

提出了一种基于空间极化时频分布(SPTFD)的FH信号多参数联合估计算法。首先利用FH信号时频域特征以及阵列流型建模方法

建立FH信号的极化敏感阵列快拍数据模型; 然后通过组合时频分布构造各跳信号的SPTFD矩阵; 在此基础上

根据秩损理论对方向和极化信息进行去耦合

利用旋转不变子空间原理估计俯仰角; 通过一维搜索和方程求解来估计方位角与极化参数

最终实现了2D-DOA与极化参数的联合估计。新算法无需多维参数寻优和配对

估计精度高。仿真结果表明:该算法能在欠定条件下精确估计FH信号2D-DOA和极化参数; 当阵元数为4、信噪比大于6 dB时

空间5个FH信号所有参数的均方根误差均小于1°。

Abstract

A novel multi-parameter joint estimation algorithm based on spatial polarimetric time-frequency distributions(SPTFD)for frequency-hopping(FH)signals is proposed to sort frequency-hopping network

identifying and to track signals effectively via the two dimensional direction of arrival(2D-DOA)and polarization of FH signals in underdetermined conditions. Both the time and the frequency features of FH signals are used to derive a data model for its polarization sensitive array based on the modeling method for manifold matrices of arrays; Then a SPTFD matrix for each hop is generated by the combined time-frequency distribution. The 2D-DOA and the polarization information are then de-coupled in the light of rank reduction theory

and the elevation angle is estimated via ESPRIT algorithm. Both the azimuth and the polarization are estimated through one-dimensional search and equation solution

respectively

and the joint estimation of both the 2D-DOA and the polarization of FH signals is completed. The proposed algorithm has good estimate precision without multi parameters optimization or pair-matching. Simulation results show that the proposed algorithm accurately estimates the 2D-DOA and the polarization of FH signals in underdetermined conditions and that the RMSE of all parameters for five FH signals is less than one degree when there are 4 sensors and the SNR is bigger than 6 dB.

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references

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