Detection of radar signals using Gabor transform and neural network

The detection of a one-dimensional radar signal is attempted by using the Gabor transform and artificial neural networks (ANNs). The Gabor transform scheme is a conjoint spatial/spectral transform, which provides a complete signal description in terms of locally windowed 1-D spectral coordinates. The neural network detector of a radar signal is quite effective because of its good learning properties and largely network connected weights. The purpose is to substitute the conventional discrete Fourier transform for the Gabor transform in a radar moving-target-detection (MTD) system and replace the constant-false-alarm-rate (CFAR) detector by using the artificial neural network detector, to obtain good detection performance