论文标题
基于chirp缩放的THZ视频SAR成像算法
A THz Video SAR Imaging Algorithm Based on Chirp Scaling
论文作者
论文摘要
在视频合成孔径雷达（SAR）成像模式中，极性格式算法（PFA）比反向投影算法（BPA）更有效。但是，PFA中的二维（2-D）插值极大地影响了其计算速度，这对视频SAR的实时成像有害。在本文中，提出了基于CHIRP缩放的Terahertz（THZ）视频SAR成像算法，该算法利用THZ SAR的小合成角特征和线性频率调制的固有特性。然后，使用两步的CHIRP缩放来替换PFA中的2-D插值以获得类似的聚焦效果，但使用速度更快。点目标模拟用于验证提出方法的有效性。
In video synthetic aperture radar (SAR) imaging mode, the polar format algorithm (PFA) is more computational effective than the backprojection algorithm (BPA). However, the two-dimensional (2-D) interpolation in PFA greatly affects its computational speed, which is detrimental to the real-time imaging of video SAR. In this paper, a terahertz (THz) video SAR imaging algorithm based on chirp scaling is proposed, which utilizes the small synthetic angular feature of THz SAR and the inherent property of linear frequency modulation. Then, two-step chirp scaling is used to replace the 2-D interpolation in the PFA to obtain a similar focusing effect, but with a faster operation. Point target simulation is used to verify the effectiveness of the proposed method.
