RT Journal Article ID 1066ad6234be79b4 A1 Totsky, A. V. A1 Astola, J. T. A1 Polotska, O. A. T1 APPLICATION OF TIME-FREQUENCY ANALYSIS TO NON-STATIONARY AND MULTICOMPONENT SIGNALS JF Telecommunications and Radio Engineering JO TRE YR 2017 FD 2017-08-16 VO 76 IS 5 SP 443 OP 459 K1 time-frequency analysis K1 time-frequency distribution K1 bispectral estimation K1 Wigner-Ville distribution K1 autoregressive model K1 Wigner-bispectrum K1 frequency resolution K1 noise immunity K1 radar backscattering AB 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. PB Begell House LK https://www.dl.begellhouse.com/journals/0632a9d54950b268,0d3460186f69c54c,1066ad6234be79b4.html