Sparse Reconstruction of SFCWSAR Based on an Approximate Observation Operator

The traditional compressed sensing SFCWSAR (Stepped Frequency Continuous Wave Synthetic Aperture Radar) sparse reconstruction algorithm consumes a lot of computer memory and cannot compensate the range migration in same pulse group. Based on this, this paper proposes based an approximate observation operator. First, replaces accurate operator with operator, which greatly reduces consumption while is running realizes compensation Furthermore, sub-band echo data under full sampling conditions are used to modify important parameter Doppler center frequency significantly improves accuracy scene. show that, compared conventional autofocus algorithm, proposed takes less can reconstruct scenes high accuracy.