A Joint Estimation Algorithm of Multiple Parameters for Frequency Hopping Signals Using Spatial Polarimetric Time Frequency Distributions

doi:10.7652/xjtuxb201508004

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A Joint Estimation Algorithm of Multiple Parameters for Frequency Hopping Signals Using Spatial Polarimetric Time Frequency Distributions

更新时间：2025-07-09

- A Joint Estimation Algorithm of Multiple Parameters for Frequency Hopping Signals Using Spatial Polarimetric Time Frequency Distributions
- Vol. 49, Issue 8, Pages: 17-23(2015)
- 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：
- DOI：10.7652/xjtuxb201508004
  CLC： TN911.7
- Online First：10 August 2015，
  
  Published：2015
- 稿件说明：
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A Joint Estimation Algorithm of Multiple Parameters for Frequency Hopping Signals Using Spatial Polarimetric Time Frequency Distributions[J]. 2015, 49(8): 17-23.
DOI：

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

FU K C, CHEN Y F. Blind iterative maximum likelihood-based frequency and transition time estimation for frequency hopping systems [J]. IET Communications, 2013, 7(9): 883-892.

LIU X Q, NICHOLAS D S, SWAMI A. Blind high-resolution localization and tracking of multiple frequency hopped signals [J]. IEEE Transactions on Signal Processing, 2002, 50(4): 889-901.

LIU X Q, NICHOLAS D S, SWAMI A. Joint hop timing and frequency estimation for collision resolution in FH networks [J]. IEEE Transactions on Wireless Communications, 2005, 4(6): 3063-3074.

LIN C H, FANG W H. Joint angle and delay estimation in frequency hopping systems [J]. IEEE Transactions on Aerospace and Electronic Systems, 2013, 49(2): 1042-1056.

陈利虎, 张尔扬. 基于数字信道化和空时频分析的多跳频信号DOA估计 [J]. 通信学报, 2009, 30(10): 68-74.

CHEN Lihu, ZHANG Eryang. Directions of arrival estimation for multi frequency-hopping signals based on digital channelized receiver and spatial time-frequency analysis [J]. Journal of Communications, 2009, 30(10): 68-74.

陈利虎. 跳频信号的侦察技术研究 [D]. 长沙: 国防科学技术大学, 2009.

王永明, 王世练, 张尔扬. 多跳频脉冲的高效测向算法 [J]. 哈尔滨工程大学学报, 2011, 32(5): 662-666.

WANG Yongming, WANG Shilian, ZHANG Eryang. An effective direction finding method for multi-frequency hopping pulses [J]. Journal of Harbin Engineering University, 2011, 32(5): 662-666.

WONG K T. Blind beamforming/geolocation for wide-band FFHs with unknown hop-sequences [J]. IEEE Transactions on Aerospace and Electronic Systems, 2001, 37(1): 65-76.

庄钊文, 徐振海, 肖顺平, 等. 极化敏感阵列信号处理 [M]. 北京: 国防工业出版社, 2005: 199-212.

ZHANG Y M, OBEIDAT B A, AMIN M G. Spatial polarimetric time frequency distribution for direction of arrival estimation [J]. IEEE Transactions on Signal Processing, 2006, 54(4): 1327-1340.

齐子森, 郭英, 王布宏, 等. 共型阵列天线信源方位与极化状态的联合估计算法 [J]. 电子学报, 2012, 40(12): 2562-2566.

QI Zisen, GUO Ying, WANG Buhong, et al. Joint DOA and polarization estimation algorithm for conformal array antenna [J]. Acta Electronica Sinica, 2012, 40(12): 2562-2566.

王永良, 陈辉, 彭应宁, 等. 空间谱估计理论与算法 [M]. 北京: 清华大学出版社, 2004: 185-211.

付卫红, 王璐, 贾坤, 等. 基于STFT与SPWVD的跳频参数盲估计算法 [J]. 华中科技大学学报: 自然科学版, 2014, 42(9): 59-63.

FU Weihong, WANG Lu, JIA Kun, et al. Blind parameter estimation for frequency hopping signals based on STFT and SPWVD [J]. Journal of Huazhong University of Science and Technology: Natural Science Edition, 2014, 42(9): 59-63.

尚佳栋,王祖林,周丽娜,等.采用随机共振增强的混合扩频信号跳频参数估计.2014,48(10):42-48.[doi:10.7652/xjtuxb201410007]

郑纪彬,任爱锋,苏涛,等.多分量Chirp信号相位参数的精确估计算法.2013,47(2):69-74.[doi:10.7652/xjtuxb201302 012]

王云龙,吴瑛.联合时延与多普勒频率的直接定位改进算法.2015,49(4):123-129.[doi:10.7652/xjtuxb201504020]

熊涛,江桦,崔鹏辉,等.应用基扩展模型的混合信号单通道盲分离算法.2015,49(6):60-66.[doi:10.7652/xjtuxb201506 010]

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