Detection and imaging of the moving target using frequency space-time adaptive processing and fractional Fourier transform

As for multi-channel SAR, the spectrum of the clutter is spatially-temporally coupled, and the echo of the moving target is chirp signal. A novel method based on STAP and FrFT is proposed in this paper, which is used for moving target detection and parameter estimation. Two steps are used for fast target detection : the coarse detection in low range resolution and parameter estimation for the specific data where the moving target appears. This paper discusses the principle of frequency STAP for clutter suppression firstly, and subsequently infers that the signal after clutter suppression is chirp signal. Then FrFT is introduced to estimate the parameters of the output signal, which can be used to estimate the parameters of the moving target. Finally, the process of the proposed method is introduced. Matching function is constructed to compensate the phase deviation caused by movement and focus the moving target. The effectiveness of the proposed method is validated by the simulation.