压缩感知合成孔径雷达射频干扰抑制方法

RFI Suppression Method for Compressive Sensing Based SAR Imaging

压缩感知合成孔径雷达成像技术能够利用少量采样数据恢复目标图像,大大减少数据存储系统的负担,但受到射频干扰时成像品质会严重下降;在目标场景稀疏条件下,分别构建目标回波信号原子库和射频干扰原子库,设计了压缩域合成孔径雷达成像射频干扰抑制算法,并对该算法进行理论分析,最终通过仿真实验验证了算法的有效性;仿真结果表明:该算法在较大干信比条件下,能有效抑制合成孔径雷达射频干扰,达到较好的成像效果。

Synthetic Aperture Radar（ SAR） imaging technology which using Compressed Sensing（ CS）could recover target image from a few sampling data,which greatly reduces the burden on data storage system. But the Radio Frequency Interference（ RFI） in SAR echoes would cause a great loss of the image quality. Under the condition of sparse target scene,the target echo signals sparse dictionary and RFI dictionary were built,and the algorithm used to suppress RFI in compressed domain was designed. The algorithm theoretical basis was analyzed in detail,and the effectiveness of the algorithm was verified by computer simulation at last. Simulation results show that under the condition of high jamming signal ratio（ JSR）,using the algorithm can suppress the RFI in SAR imaging effectively and can achieve a better imaging result.