基于改进CS算法的侧斜视SAR成像

Improved CS algorithms for squint SAR imaging

针对SAR的斜视工作模式,该文建立了雷达信号的回波模型,详细分析了回波信号的瞬时方位频率和瞬时多普勒频率及距离Chirp斜视对方位频率的影响,结合经典的 CS算法,提出了一种基于斜视的改进CS算法,并利用该方法进行了仿真试验,理论分析和仿真结果表明,该方法更符合斜视SAR的几何关系,能有效的进行距离压缩、距离徙动校正和方位聚焦,改善成像质量。

Based on the squint-looking SAR mode of SAR system, this paper gives the mathematical model of SAR echo signal, and carefully analysis the instantaneous azimuth frequency, the instantaneous Doppler frequency componet of the azimuth frequency and the impact of rage chirp on azimuth frequency, properly to with the common Chirp Scaling algorithms proposes a improved Chirp Scaling algorithm for squint-looking SAR imaging. The results of theory and simulation show that the way is more reasonable for squint-looking SAR geometrie relation and can effectively complete range cell migrate correct, range compression and azimuth focusing, and improve image's quality.