吉林大学学报(工学版) ›› 2017, Vol. 47 ›› Issue (6): 1949-1956.doi: 10.13229/j.cnki.jdxbgxb201706037

• 论文 • 上一篇    下一篇

相干/同向信号波达方向与多普勒频率的联合估计

单泽彪1, 2, 刘小松1, 王春阳1, 石屹然2, 石要武2   

  1. 1.长春理工大学 电子信息工程学院,长春 130022;
    2.吉林大学 通信工程学院,长春 130022
  • 收稿日期:2016-08-29 出版日期:2017-11-20 发布日期:2017-11-20
  • 通讯作者: 刘小松(1988-),女,讲师,博士.研究方向:信息处理与先进控制技术.E-mail:liuxiaosong9@163.com
  • 作者简介:单泽彪(1986-),男,讲师,博士.研究方向:光电检测与现代信号处理.E-mail:zbshan@126.com
  • 基金资助:
    国防基础科研计划项目(JCKY2016411C006); 国家自然科学基金项目(61571462)

Joint estimation of DOA and Doppler frequency for coherence and/or same-direction signals

SHAN Ze-biao1, 2, LIU Xiao-song1, WANG Chun-yang1, SHI Yi-ran2, SHI Yao-wu2   

  1. 1.School of Electronic and Information Engineering, Changchun University of Science and Technology, Changchun 130022,China;
    2.College of Communication Engineering, Jilin University, Changchun 130022, China
  • Received:2016-08-29 Online:2017-11-20 Published:2017-11-20

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摘要： 针对相干/同向信号波达方向(DOA)与多普勒频率的联合估计问题,提出了一种基于特征空间的修正二维MUSIC联合估计算法。首先,建立包含DOA和多普勒频率信息的广义阵列信号模型,通过共轭重构对阵列接收信号的协方差矩阵进行修正,使其有效适用于相干/同向信号下DOA与多普勒频率的联合估计。同时,在二维MUSIC算法的基础上,提出了一种基于特征空间的DOA与多普勒频率联合估计算法,该算法充分利用了信号子空间和噪声子空间的信息,并且可以对源信号功率进行估计。对该算法加以修正后同样可以应用于相干/同向信号的DOA与多普勒频率联合估计,且可以得到比修正二维MUSIC算法更好的估计效果。最后,通过仿真试验验证了本文算法的有效性。

关键词: 信息处理技术, 波达方向估计, 多普勒频率估计, 相干信号, 同向信号, 信号功率估计

Abstract: This paper is concerned with the joint estimation problem of Directions of Arrival (DOAs) and Doppler Frequency (DF) for coherence and/or same-direction signals. An eigen-space based modified 2D-MUSIC algorithm is proposed. First, a generalized array signal model is established, which incorporates both DOAs and DFs information. Then, the covariance matrix of the received signals of antenna array is modified through conjugate reconstruction to make it applicable for joint estimation of DOAs and DFs for coherence and/or same-direction signals. On the basis of 2D-MUSIC algorithm, an eigen-space based algorithm for joint estimation of DOAs and DFs is presented, where the information of both signal and noise subspaces is utilized, and this algorithm can estimate the signal power as well. Besides, a modified eigen-space algorithm is given, which can also implement joint estimation of DOAs and DFs for coherence and/or same-direction signals, and it is superior to the modified 2D-MUSIC algorithm in term of estimation performance. Several contrastive simulation results are presented to elucidate the validity of the proposed algorithms.

Key words: information procession technology, directions of arrival (DOA) estimation, Doppler frequency estimation, coherent signals, same-direction signals, signal power estimation

中图分类号: 

  • TN91
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