Moving target detection in airborne SAR by a combined wigner-STFT transform

The detection and the motion parameters estimation of the moving targets is a key problem in imaging the moving target for Synthetic aperture radar (SAR). In this paper, a new method based on the combination of the Wigner-Ville distribution (WVD) and the short-time Fourier transform (STFT) has been proposed and applied to moving target detection for airborne SAR. It is demonstrated that the proposed method can eliminate the cross-terms of the WVD and improve the time-frequency resolution of the STFT simultaneously. Its performance is demonstrated by both simulation and experimental examples. Our results suggest that the proposed method provides a efficient technique in detecting the moving target for airborne SAR.