ABSTRACT

The traditional inverse synthetic aperture radar (ISAR) imaging method, namely, range-Doppler (RD) method, becomes invalid when it comes to the sparse aperture (SA) situation. In this letter, we developed a novel super-resolution SA-ISAR imaging method via the Turbo technique to deal with this problem, which has satisfactory recovery performance and excellent imaging results. To enhance the robustness of the proposed method, we further utilized the expectation maximization (EM) strategy to update the relative model parameters automatically. Experiments on the simulated and real measured data validate the effectiveness of the proposed method.

摘要

传统的逆合成孔径雷达（ISAR）成像方法，即距离-多普勒（RD）方法，在遇到稀疏孔径（SA）情况时就失效了。在这封信中，我们通过Turbo技术开发了一种新的超分辨率SA-ISAR成像方法来解决这个问题，该方法具有令人满意的恢复性能和出色的成像效果。为了增强所提出方法的鲁棒性，我们进一步利用期望最大化（EM）策略来自动更新相关模型参数。模拟和实际测量数据的实验验证了所提方法的有效性。