基于压缩感知的干涉逆合成孔径雷达成像研究

为解决传统运动目标逆合成孔径雷达图像不能对目标定位的问题，提出了一种基于压缩感知技术的干涉逆合成孔径雷达运动目标成像方法.介绍了将压缩感知理论引入到运动目标逆合成孔径雷达成像模型中的方法，研究了压缩感知逆合成孔径雷达复图像的相位误差和信噪比的关系，在此基础上，给出了基于压缩感知的干涉逆合成孔径雷达运动目标干涉测角定位方法实施流程.通过计算机仿真和实际数据处理结果验证了所提方法对运动目标成像定位的有效性. 本文的研究成果扩展了压缩感知理论在逆合成孔径雷达中的应用前景。

Moving target InISAR imaging and location based on compressed sensing

A new moving target interferometric inverse synthetic aperture radar (InISAR) imaging method based on compressed sensing (CS) theory is proposed to solve the moving target location problem in traditional inverse synthetic aperture radar (ISAR) image. Firstly, the CS theory is introduced into moving target ISAR imaging model, and then the phase preserving property of the ISAR complex images obtained through CS theory is analyzed against the signal noise ratio(SNR). Further, the implementation process of CS based InISAR moving target interferometric angle orientation algorithm is presented. Finally, the validity of the proposed method in moving target imaging and location is verified by simulation and practical application. This research expands the application of CS theory in ISAR.