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Wigner-Ville distribution: an important functional block for radar target detection in clutter

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2 Author(s)
S. Haykin ; Commun. Res. Lab., McMaster Univ., Hamilton, Ont., Canada ; T. Bhattacharya

In this paper we describe an application of the Wigner-Ville distribution (WVD) for the detection of a radar target signal buried in a strong clutter background. The WVD transforms the received radar signal into a time-frequency image that accounts for the nonstationary nature of the radar signal. The cross-terms, an inherent feature of the WVD, play a constructive role in this application. In particular, their presence enhances the visibility of a target in the WVD image in a unique and significant way. The WVD image provides a common input to a pair of channels, with one channel matched to clutter and the other channel matched to target plus clutter. Each channel consists of a principal components analyzer (for feature extraction) followed by a multilayer perceptron classifier. Experimental results, based on real-life, radar data, are presented to demonstrate the superior performance of the new detection strategy compared to a conventional constant false-alarm rate (CFAR) processor

Published in:

Signals, Systems and Computers, 1994. 1994 Conference Record of the Twenty-Eighth Asilomar Conference on  (Volume:1 )

Date of Conference:

31 Oct-2 Nov 1994