ISAR imaging of mobile targets based on short time adaptive Gaussian chirplet decomposition

In ISAR imaging the rotation of the mobile target is not uniform after motion compensation, but variable in time, so the traditional range-Doppler imaging methods can not get clear images. This paper analyzes and compares several time-frequency methods to image the mobile target, and proposes a new imaging method based on the parametric time-frequency signal analysis-the ST-AGCD algorithm. This method has advantages of high resolution and none cross terms. It is shown by simulation results that the proposed method can get better imaging results.