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

被引：0

作者：

Totsky A.V. ^{[1
]}

Astola J.T. ^{[2
]}

Polotska O.A. ^{[3
]}

机构：

[1] National Aerospace University, Kharkiv Aviation Institute, 17, Chkalov St., Kharkiv

[2] Tampere University of Technology, P. O. Box 553, Tampere

[3] V. Karazin National University of Kharkov, 4, Svoboda Sq., Kharkiv

来源：

Telecommunications and Radio Engineering (English translation of Elektrosvyaz and Radiotekhnika) | 2017年 / 76卷 / 05期

关键词：

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

D O I：

10.1615/TelecomRadEng.v76.i5.50

中图分类号：

学科分类号：

摘要：

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. © 2017 by Begell House, Inc.

引用

页码：443 / 459

页数：16

共 12 条

[1]

Gabor D., Theory of communication, J. IEE (London), 93, pp. 429-457, (1946)

[2]

Rihaczek A.W., Signal energy distribution in the time and frequency domain, IEEE Trans. Inform. Theory, IT-14, 3, pp. 369-374, (1968)

[3]

Cohen L., Time-frequency distributions - A review, Proc. IEEE, 77, 4, pp. 941-981, (1989)

[4]

Boashash B., Estimating and interpreting the instantaneous frequency of a signal - Part 1: Fundamentals, Proc. IEEE, 80, 4, pp. 520-538, (1992)

[5]

Boashash B., Estimating and interpreting the instantaneous frequency of a signal - Part 2: Algorithms and Applications, Proc. IEEE, 80, 4, pp. 540-568, (1992)

[6]

Nikias C.L., Raghuveer M.R., Bispectral estimation: A digital signal processing framework, IEEE Proceedings, 75, 7, pp. 869-891, (1987)

[7]

Ville J., Théorie et applications de la notion de signal analytique, Cables et Transmission, 2, pp. 61-74, (1948)

[8]

Gerr N.L., Introducing a third-order Wigner distribution, Proceedings of the IEEE, 76, pp. 290-292, (1988)

[9]

Boashash B., Black P.J., An efficient real-time implementation of the Wigner-Ville distribution, IEEE Transacrions on Acoustics, Speech, and Signal Processing, ASSP-35, 11, pp. 1611-1618, (1987)

[10]

Fonollosa J., Nikias C.L., Analysis of transient signals using higher order timefrequency distributions, Proceedings of IEEE International. Conference Acoustics, Speech and Signal Processing, pp. V197-V200, (1992)

← 1 2 →