Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers (1994)
Pacific Grove, CA, USA
Oct. 31, 1994 to Nov. 2, 1994
S. Haykin , Commun. Res. Lab., McMaster Univ., Hamilton, Ont., Canada
T. Bhattacharya , Commun. Res. Lab., McMaster Univ., Hamilton, Ont., Canada
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.<
radar detection, radar computing, radar imaging, radar clutter, Wigner distribution, time-frequency analysis, radar signal processing, multilayer perceptrons
S. Haykin and T. Bhattacharya, "Wigner-Ville distribution: an important functional block for radar target detection in clutter," Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers(ACSSC), Pacific Grove, CA, USA, 1995, pp. 68-72.