Identification of close signals using the Wigner time-frequency distribution

被引:0
|
作者
Vodovatov, IA
Vysotskii, MG
Rogov, SA
Tkachenko, AG
机构
关键词
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
The possibility of identifying close signals based on the method of Wigner cross distribution (WCD) moments is analyzed. The WCD moments are regarded as primary descriptors. Formulas that enable one to assess the sensitivity of WCD moments to variations of signal parameters, determine signal distinction parameters, and identify signals are derived. Calculation results are presented for two types of radio signals. The efficiency of identification is verified experimentally for the WCD section coinciding with the cross-correlation function.
引用
下载
收藏
页码:1145 / 1150
页数:6
相关论文
共 50 条
  • [41] THE WIGNER DISTRIBUTION - A TOOL FOR TIME-FREQUENCY SIGNAL ANALYSIS .3. RELATIONS WITH OTHER TIME-FREQUENCY SIGNAL TRANSFORMATIONS
    CLAASEN, TACM
    MECKLENBRAUKER, WFG
    PHILIPS JOURNAL OF RESEARCH, 1980, 35 (06) : 372 - 389
  • [42] sEMG Signals Analysis Using Time-Frequency Distribution for Symmetric and Asymmetric Lifting
    Shair, E. F.
    Zawawi, T. N. S. T.
    Abdullah, A. R.
    Shamsudin, N. H.
    Halim, I.
    2ND INTERNATIONAL SYMPOSIUM ISTMET 2015 TECHNOLOGY MANAGEMENT & EMERGING TECHNOLOGIES, 2015,
  • [43] Time-frequency chirp-Wigner transform for signals with any nonlinear polynomial time varying instantaneous frequency
    Gelman, L.
    Gould, J. D.
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2007, 21 (08) : 2980 - 3002
  • [44] Recognition of frequency-modulated signals using the Wigner distribution
    Vysotskiy, M. G.
    Kaasik, V. P.
    Rogov, S. A.
    Rozov, S. V.
    PROCEEDINGS OF THE 9TH ALEXANDER FRIEDMANN INTERNATIONAL SEMINAR ON GRAVITATION AND COSMOLOGY AND 3RD SATELLITE SYMPOSIUM ON THE CASIMIR EFFECT, 2016, 41
  • [45] New time-frequency distribution based on the polynomial Wigner-Ville distribution and L class of Wigner-Ville distribution
    Wang, Y.
    Jiang, Y. C.
    IET SIGNAL PROCESSING, 2010, 4 (02) : 130 - 136
  • [46] Time-frequency analysis and filtering of kinematic signals with impacts using the Wigner function: accurate estimation of the second derivative
    Giakas, G
    Stergioulas, LK
    Vourdas, A
    JOURNAL OF BIOMECHANICS, 2000, 33 (05) : 567 - 574
  • [47] Chirplet Wigner-Ville distribution for time-frequency representation and its application
    Chen, G.
    Chen, J.
    Dong, G. M.
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2013, 41 (1-2) : 1 - 13
  • [48] K-Wigner Distribution: Definition, Uncertainty Principles and Time-Frequency Analysis
    Zhang, Zhichao
    Li, Dong
    He, Yangfan
    Chen, Yunjie
    Zhang, Jianwei
    Zhou, Chengxi
    IEEE TRANSACTIONS ON INFORMATION THEORY, 2023, 69 (04) : 2722 - 2736
  • [49] The use of a filter bank and the Wigner-Ville distribution for time-frequency representation
    Sattar, F
    Salomonsson, G
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 1999, 47 (06) : 1776 - 1783
  • [50] Singular value decomposition of wigner distribution for time-frequency representation of ultrasonic echoes
    Jin, XM
    Malik, MA
    Saniie, J
    REVIEW OF PROGRESS IN QUANTITATIVE NONDESTRUCTIVE EVALUATION, VOLS 15A AND 15B, 1996, 15 : 765 - 772