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Application of time-frequency analysis to non-stationary and multicomponent signals

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Details

Original languageEnglish
Pages (from-to)443-459
Number of pages17
JournalTelecommunications and Radio Engineering (English translation of Elektrosvyaz and Radiotekhnika)
Volume76
Issue number5
DOIs
Publication statusPublished - 2017
Publication typeA1 Journal article-refereed

Abstract

In this paper, four different approaches to time-frequency analysis performed by using parametrical and non-parametrical bispectral estimation, as well as the Wigner-Ville and Wigner-bispectrum techniques are considered, studied and compared between each other. Frequency resolution and noise immunity have been investigated for different time-frequency distributions by the computer simulations. Results of computer simulations are represented both for multi-component signal models and radar backscattering signals experimentally recorded for moving radar object in the form of walking human. It is demonstrated that the parametrical bispectrum-based technique provides smallest distortions in time-frequency distributions for the non-stationary multicomponent signals though, at the same time, it inferiors a few to the Wigner-Ville distribution in noise immunity.

ASJC Scopus subject areas

Keywords

  • Autoregressive model, Bispectral estimation, Frequency resolution, Noise immunity, Radar backscattering, Time-frequency analysis, Time-frequency distribution, Wigner-bispectrum, Wigner-Ville distribution

Publication forum classification

Field of science, Statistics Finland