A LRWC-Based Chirp Scaling Algorithm for Squint Stripmap SAR Data Imaging

Synthetic Aperture Radar (SAR) system operating in squint working mode has high flexibility and can be widely used in many fields. This paper mainly focuses on decoupling and imaging processing of squint stripmap SAR data. A modified Chirp Scaling Algorithm (CSA) based on the Linear Range Walk Correction (LRWC) method is proposed for this squint stripmap imaging mode. By introducing the Azimuth Non-Linear Chirp Scaling (ANLCS) filtering, the azimuth variant Doppler Frequency Modulation Rate (DFMR) can then be equalized. Simulation is carried out to validate the effectiveness and efficiency of the proposed algorithm.