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Classification of radar return using Wigner-Ville distribution
K. M.Muraleedhara Prabhu
Published in IEEE, Piscataway, NJ, United States
Volume: 6
Pages: 3105 - 3108
This paper attempts to analyze and classify the radar returns from a simulated Ground Based Radar using Wigner-Ville Distribution (WVD). The stochastic modeling methods like AR and ARMA have earlier been applied for the classification problem. However, they suffer from inaccuracies such as showing inexact spectral widths, which is a prime factor to distinguish weather returns from birds, non adaptability to time-varying clutter spectra, etc., despite being prominent in resolving spectral peaks. The paper proposes WVD as an alternative tool for the classification of radar returns, since it being a powerful technique for time-varying spectra. The analysis shows promising results especially from the view point of spectral widths, though faced with the problem of cross-spectral components. Examples of WVD applied to the simulated radar signal are presented to illustrate the advantages of this method.
About the journal
JournalData powered by TypesetICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
PublisherData powered by TypesetIEEE, Piscataway, NJ, United States
Open AccessNo
Concepts (12)
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    Mathematical models
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    Radar clutter
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    Regression analysis
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    Signal detection
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    Signal to noise ratio
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    Spectrum analysis
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    Time varying systems
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    Radar returns
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    Signal classification
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    Surveillance radar