Source enumeration method by combining diagonal loading and constructing second-order statistics

被引:0
|
作者
Wang Chuanchuan [1 ]
Zeng Yonghu [1 ]
Wang Liandong [1 ]
Li Zhipeng [1 ]
机构
[1] State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System
关键词
D O I
10.19682/j.cnki.1005-8885.2023.2005
中图分类号
TN911.7 [信号处理];
学科分类号
0711 ; 080401 ; 080402 ;
摘要
A source enumeration method based on diagonal loading of eigenvalues and constructing second-order statistics is proposed, for the case that the antenna array observed signals are overlapped with spatial colored noise, and the number of antennas compared with the number of snapshots meet the requirement of general asymptotic regime. Firstly, the sample covariance matrix of the observed signals is obtained, the eigenvalues of the sample covariance matrix can be acquired by eigenvalue decomposition, and the eigenvalues are diagonally loaded, and a new formula for calculating the diagonal loading is presented. Based on the diagonal loaded eigenvalues, the difference values are calculated for the adjacent eigenvalues after diagonal loading, and the statistical variance of the difference values is calculated. On this basis, the second-order statistics of the difference values are constructed, and when the second-order statistics are minimized, the corresponding number of sources is estimated. The proposed method has wide applicability, which is suitable for both general asymptotic regime and classical asymptotic system, and is suitable for both white Gaussian noise environment and colored noise environment. The method makes up for the lack of source enumeration methods in the case of general asymptotic system and colored noise.
引用
收藏
页码:47 / 55
页数:9
相关论文
共 50 条
  • [1] Source enumeration method by combining diagonal loading and constructing second-order statistics
    Chuanchuan W.
    Yonghu Z.
    Liandong W.
    Zhipeng L.
    Journal of China Universities of Posts and Telecommunications, 2023, 30 (01): : 47 - 55
  • [2] A Class of Blind Source Extraction Method Using Second-Order Statistics
    Wang Rongjie
    Zhou Haifeng
    Zhan Yiju
    2017 INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION SCIENCES (ICRAS), 2017, : 162 - 166
  • [3] Second-order statistics for equal gain combining with arbitrary channels
    Santos, JCS
    Yacoub, MD
    PROCEEDINGS OF THE INTERNATIONAL 2003 SBMO/IEEE MTT-S INTERNATIONAL MICROWAVE AND OPTOELECTRONICS CONFERENCE - IMOC 2003, VOLS I AND II, 2003, : 55 - 60
  • [4] The Research on Blind Source Separation Method for Vibration Signals Base on the Second-Order Statistics
    Ye Hong-xian
    Zhou Xiaofeng
    MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION, PTS 1 AND 2, 2011, 48-49 : 1290 - +
  • [5] A second-order statistics method for blind source separation in post-nonlinear mixtures
    Fantinato, Denis G.
    Duarte, Leonardo T.
    Deville, Yannick
    Attux, Romis
    Jutten, Christian
    Neves, Aline
    SIGNAL PROCESSING, 2019, 155 : 63 - 72
  • [6] Source separation using a criterion based on second-order statistics
    Lindgren, UA
    Broman, H
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 1998, 46 (07) : 1837 - 1850
  • [7] Blind source separation using second-order cyclostationary statistics
    Abed-Meraim, K
    Xiang, Y
    Manton, JH
    Hua, YB
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2001, 49 (04) : 694 - 701
  • [8] A blind source separation technique using second-order statistics
    Belouchrani, A
    AbedMeraim, K
    Cardoso, JF
    Moulines, E
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 1997, 45 (02) : 434 - 444
  • [9] Beyond second-order statistics
    Coles, P
    NEW ERA IN COSMOLOGY, 2002, 283 : 56 - 59
  • [10] An iterative method using conditional second-order statistics applied to the blind source separation problem
    Xerri, B
    Borloz, B
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2004, 52 (02) : 313 - 328