Inverse synthetic aperture radar (ISAR) imaging of near-field targets is potentially useful in some specific applications, which makes it very important to efficiently produce high-quality image of the near-field target. In this paper, the simplified target model with uniform linear motion is applied to the near-field target imaging, which overcomes the complexity of the traditional near-field imaging algorithm. According to this signal model, the method based on coordinate conversion and image interpolation combined with the range-Doppler (R-D) algorithm is proposed to correct the near-field distortion problem. Compared with the back-projection (BP) algorithm, the proposed method produces better focused ISAR images of the near-field target, and decreases the computation complexity significantly. Experimental results of the simulated data have demonstrated the effectiveness and robustness of the proposed method.

中文翻译：

---

基于坐标转换和图像插值的近场目标ISAR成像方法

近场目标的逆合成孔径雷达（ISAR）成像在某些特定应用中可能很有用，这使得有效产生近场目标的高质量图像非常重要。本文将具有均匀线性运动的简化目标模型应用于近场目标成像，克服了传统近场成像算法的复杂性。根据该信号模型，提出了一种基于坐标转换和图像插值并结合距离多普勒（RD）算法的方法来校正近场失真问题。与反投影算法相比，该方法能产生较好的近场目标聚焦ISAR图像，并显着降低了计算复杂度。