Abstract

Image formation in highly squinted mode synthetic aperture radar (SAR) is limited by image degradations caused by neglecting the high order range-variant filtering required by secondary range compression (SRC). This paper proposes a novel nonlinear chirp scaling algorithm (NCSA), which is an extension of the traditional one. The key of the novel method is adding a fourth-order filtering step to the traditional NCSA, using the method of series reversion (MSR) to derive an accurate range-Doppler domain point target spectrum, and adopting the nonlinear chirp scaling theory to image the data acquired in highly squinted case. Simulation results are presented to validate the proposed algorithm.

Paper Details