Abstract: The paper presents a dual-channel SAR moving-target imaging method via clutter suppressing by space-time adaptive processing(STAP) and parameter estimating by modified discrete Chirp-Fourier transform(MDCFT).The MDCFT is used to handle the output signals of STAP,and the detection and parameter estimation can be solved simultaneously in the MDCFT amplitude plane.An analysis is made about the filtering effect of STAP on the SAR receive signals.The MDCFT model fitted for SAR systems is established.Filtering in the fractional Fourier domain eliminates the phase error caused by the clutter.After then,the exact position and the radial velocity of the moving target are estimated via the channel phase difference and the Doppler center frequency.Simulation results prove that the method is effective and correct.