Study on Performance of Wigner Ville Distribution for Linear FM and Transient Signal Analysis
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Study on Performance of Wigner Ville Distribution for Linear FM and Transient Signal Analysis

Authors: Azeemsha Thacham Poyil, Nasimudeen KM

Abstract:

This research paper presents some methods to assess the performance of Wigner Ville Distribution for Time-Frequency representation of non-stationary signals, in comparison with the other representations like STFT, Spectrogram etc. The simultaneous timefrequency resolution of WVD is one of the important properties which makes it preferable for analysis and detection of linear FM and transient signals. There are two algorithms proposed here to assess the resolution and to compare the performance of signal detection. First method is based on the measurement of area under timefrequency plot; in case of a linear FM signal analysis. A second method is based on the instantaneous power calculation and is used in case of transient, non-stationary signals. The implementation is explained briefly for both methods with suitable diagrams. The accuracy of the measurements is validated to show the better performance of WVD representation in comparison with STFT and Spectrograms.

Keywords: WVD: Wigner Ville Distribution, STFT: Short Time Fourier Transform, FT: Fourier Transform, TFR: Time-Frequency Representation, FM: Frequency Modulation, LFM Signal: Linear FM Signal, JTFA: Joint time frequency analysis.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1333851

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References:


[1] Roberto Celi, "Time-Frequency analysis of helicopter noise" Alfred Gessow Rotorcraft Center, Department of Aerospace Engineering, University of Maryland, College Park, 2007
[2] G. Faye, Boudreaux-Bartels,"Mixed Time Frequency Signal Transformations", University of Rhode Island, 1996
[3] F. Hlawatsch, G.F Boudreaux-Bartels, "Linear and Quadratic Time Frequency Representations", 1992
[4] Ning Ma, Didier Vray, Philippe Delachartre, GCrard Gimenez, "Timefrequency representation of multicomponent chirp signals", CREATES CNRS Research Unit (UMR5515), qfiliated to INSERM, INSA 502, 69621 Villeurhanne, France, 20 September 1996
[5] Preeti Rao and Fred J. Taylor, "Detection and localization of narrow band transient signals using the Wigner distribution", Dept. of Electrical Engineering, University of Florida, J. Acoust. Soc. Am. Volume 90, Issue 3, pp. 1423-1434, 1991
[6] Guillermo G. Gaunaurd, "Applications of (Wigner-Type) Time- Frequency Distributions to Sonar and Radar Signal Analysis", Army Research Laboratory, Adelphi, Hans C. Strifors, Defense Research Agency (FOI), Sweden, 2003
[7] Xue W and Sun X.W, "Multiple targets detection method based on binary hough transform and adaptive time-frequency filtering", Progress In Electromagnetics Research, PIER 74, 309-317, 2007
[8] Hu Guangshu, "Dsp-theory, algorithm and implementation," Tsinghua publishing house, 1997
[9] Luo zhuanyi, Cheng guifen, "Random signal process and controlling foundation," Chemistry industry publishing house, 2002
[10] "Analyse methods for audio signal detected from water leakage spot", Yang Lijian, Fang Yuchang, and Gao Songwei, Shenyang University of Technology, Shenyang, China, 2011
[11] I. Iancu, G. Canureci, E.Iancu, M. Vinatoru, "Spectral Analysis of the Heart Sounds for Medical Diagnosis", Department of Physiology, Medical Informatics and Biostatistics, University of Medicine and Pharmacy of Craiova, Craiova, Romania, 2008
[12] Robert A Stepien, "New method for analysis of nonstationary signals", Nonlinear Biomedical Physics, http://www.nonlinearbiomedphys.com, 2011
[13] P. Bonato, Z. Erim, J. A. Gonzalez Cueto, " Decomposition of superimposed waveforms using the cross time frequency transform ", Neuro-Muscular Research Center, Boston University, Boston, MA USA, 2000
[14] S. Femmam, "Failures detection and estimation of non-stationary signals by time-scale frequency techniques", American Journal of Scientific and Industrial Research, 2010