An Improved SAR Large Strabismus CS Imaging Algorithm

This paper proposes an improved SAR large-squint CS imaging algorithm based on the characteristics of long-distance movement and small-distance bending of large-squint SAR echo signals. First, range movement is corrected in the time domain, then range migration correction and secondary range compression are completed in the range Doppler domain, and finally clear imaging is achieved through an improved azimuth matching filtering method. The entire imaging process of this algorithm only includes fast Fourier transform and complex multiplication operations, so the algorithm speed is high. The simulation results show that the improved algorithm significantly improves the azimuthal side lobe characteristics of the imaging results, achieves obvious focusing effects, and can meet the requirements of high-resolution imaging for large strabismus.