Range migration correction for random stepped-frequency SAR imaging

Range Cell Migration Correction (RCMC) is an important issue in Randomly Stepped Frequency SAR Imaging. In this work we use the newly proposed compressive sensing (CS) algorithms to correct range migration and to form SAR images of random data. This algorithm makes randomly stepped frequency echo data equivalent to the observed value of evenly stepped frequency echo data, and integrates range migration correction operator into the part of sparse representation. High-resolution range profiles (HRRP) are directly obtained after migration correction via CS reconstruction algorithm, and then the target scene imaging is completed by azimuth pulse compression. Even under conditions of lack of spectrum resources, experimental result also shows that the algorithm is able to achieve high resolution imaging.