DOA Estimation of Two Correlated Signals Using Covariance Matrix Transformation

被引:0
|
作者
Sang Van Doan [1 ]
Kim, Dong-Seong [2 ]
机构
[1] Vietnam Naval Acad, Fac Commun & Radar, Nha Trang City, Vietnam
[2] Kumoh Natl Inst Technol, Dept IT Convergence, Gumi, Gyeongbuk, South Korea
来源
2019 10TH INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGY CONVERGENCE (ICTC): ICT CONVERGENCE LEADING THE AUTONOMOUS FUTURE | 2019年
基金
新加坡国家研究基金会;
关键词
antenna array; covariance matrix transformation; correlated signals; direction of arrival; non-uniform linear array;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Recently, the direction of arrival estimation is one of the interesting topics in radar and communication field, especially in electronic intelligence systems. Many methods have been developed to estimate DOAs of multiple non-correlated and/or correlated signals, but DOA determination method for multiple correlated signals still have been remained uncompleted. In this paper, an approach using a covariance matrix transformation was proposed to estimate DOAs of two correlated signals for a symmetry linear array. The method was described mathematically and demonstrated by simulation, whose results indicated an advantage to estimate DOAs of correlated signals with higher accuracy and resolution than that of the conventional methods. The proposed method has the potential to solve the problem in the case of multiple correlated and/or non-correlated signals simultaneously in general for the arbitrary antenna arrays.
引用
收藏
页码:784 / 788
页数:5
相关论文
共 50 条
  • [1] DOA estimation of multiple non-coherent and coherent signals using element transposition of covariance matrix
    Doan, Van-Sang
    Kim, Dong-Seong
    ICT EXPRESS, 2020, 6 (02): : 67 - 75
  • [2] DOA estimation of the coherent signals using beamspace matrix reconstruction
    Qi, Bingbing
    SIGNAL PROCESSING, 2022, 191
  • [3] DOA Estimation Based on Sparse Covariance Vector Representation Using Two-Channel Receiver
    Jabbarian-Jahromi, Mohammad
    Mohammadpour-Aghdam, Karim
    Foudazi, Ghasem
    Mohammad-Salehi, Masoudreza
    2014 11TH EUROPEAN RADAR CONFERENCE (EURAD), 2014, : 261 - 264
  • [4] Covariance-Based DoA Estimation in a Krylov Subspace
    Ferreira, Tadeu N.
    de Campos, Marcello L. R.
    Netto, Sergio L.
    CIRCUITS SYSTEMS AND SIGNAL PROCESSING, 2015, 34 (07) : 2363 - 2379
  • [5] Covariance-Based DoA Estimation in a Krylov Subspace
    Tadeu N. Ferreira
    Marcello L. R. de Campos
    Sergio L. Netto
    Circuits, Systems, and Signal Processing, 2015, 34 : 2363 - 2379
  • [6] DOA Estimation from Temporally and Spatially Correlated Narrowband Signals with Noncircular Sources
    Ben Hassen, Sonia
    Bellili, Faouzi
    Samet, Abdelaziz
    Affes, Sofiene
    2011 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC), 2011, : 1782 - 1787
  • [7] Off-grid DOA estimation using array covariance matrix and block-sparse Bayesian learning
    Zhang, Yi
    Ye, Zhongfu
    Xu, Xu
    Hu, Nan
    SIGNAL PROCESSING, 2014, 98 : 197 - 201
  • [8] 2D-DOA and Polarization Estimation Using a Novel Sparse Represent on of Covariance Matrix With COLD Array
    Si, Weijian
    Wang, Yan
    Zhang, Chunjie
    IEEE ACCESS, 2018, 6 : 66385 - 66395
  • [9] Distributed Maximum Likelihood DOA Estimation Algorithm for Correlated Signals in Wireless Sensor Network
    M. Shree Prasad
    Trilochan Panigrahi
    Wireless Personal Communications, 2019, 105 : 1527 - 1544
  • [10] Distributed Maximum Likelihood DOA Estimation Algorithm for Correlated Signals in Wireless Sensor Network
    Prasad, M. Shree
    Panigrahi, Trilochan
    WIRELESS PERSONAL COMMUNICATIONS, 2019, 105 (04) : 1527 - 1544