Three-dimensional imaging algorithm based on azimuth resampling for high-speed diving forward-looking linear array SAR

In this paper, a new azimuth resampling algorithm is proposed to eliminate azimuth spatial variability for high-speed diving forward-looking line array synthetic aperture radar (HDFLLA-SAR). Specifically, this algorithm utilizes least square fit (LSF) method to describe the relationship between azimuth space-variant phase and azimuth space-variant component, and compensates for azimuth spatial variability through resampling interpolation. Simulation experiments validate the effectiveness of the proposed algorithm.