Figure 11From: Radar detection with the Neyman–Pearson criterion using supervised-learning-machines trained with the cross-entropy error ROC curves of the MPLs with different number of hidden neurons, trained to minimize the Cross-Entropy error for detecting Swerling I targets with unknown Doppler shift in Gassian clutter plus AWGN ( CNR = 20 d B, ρ c = 0.7, S I R = 1 3 d B ). Back to article page