By Topic

Classification of radar returns using Wigner-Ville distribution

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Kumar, P.K. ; Dept. of Electr. Eng., Indian Inst. of Technol., Madras, India ; Prabhu, K.M.M.

This paper attempts to analyze and classify the radar returns from a simulated ground based radar using Wigner-Ville distribution (WVD). 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 is 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

Published in:

Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on  (Volume:6 )

Date of Conference:

7-10 May 1996