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Investigation of using linear and quadratic time-frequency representations for electromagnetic feature extraction with reduced aspect sensitivity

Turhan-Sayan, GÖNÜL
The feasibility of using some well-known time-frequency representation (TFR) techniques besides the Wigner distribution (WD) was examined. Four different TFRs, the Gabor expansion (GE), the short time Fourier transform (STFT), the Page distribution (PD) and the WD, were used for feature extraction and target recognition based on the same set of target classes and the same reference database for fair comparison of the results. Among the four TFRs, the WD was found to be superior to other TFRs for the extraction of natural response related to electromagnetic target features with low aspect sensitivity and high target identification power.