Abstract:Traditionally the classical matched filter is extensively used in synthetic aperture radar (SAR) systems to achieve the two-dimensional pulse compression of distance and azimuth. Bandwidth of the system is often limited and fixed. In some practical applications, the output signal-to-noise ratio and target delay resolution have different requirements. The exponential filters with variable exponents is a better choice than the matched filter. In this paper, based on the exponential filter, a new two-dimensional exponential pulse compression transform is applied to build the high-resolution SAR imaging algorithm. The simulation results show that the algorithm has a narrower main lobe width and lower side lobe height than traditional SAR algorithm in both distance dimension and azimuth dimension.