基于斜距高阶近似的弧形阵列SAR成像方法

Imaging Approach for Arc Array SAR Based on High-Order Approximation of Slant Range

  • 摘要: 弧形阵列合成孔径雷达(Synthetic Aperture Radar, SAR)是一种新型的针对广域观测的阵列成像雷达,其具有观测范围广,分辨率高等特点。由于其回波信号方位向等角度间隔采样,目标精确的二维频 谱难以有效推导,并且已有的线性阵列成像算法不再适用。针对上述问题,本文提出了一种基于斜距高阶近似的弧形阵列SAR成像处理方法,该方法首先对斜距模型进行高阶近似,然后推导了雷达回波信号的二维频谱,之后在二维频域补偿距离徙动及距离方位的耦合,最终得到聚焦图像。点阵目标的仿真结果验证了该成像方法的有效性。

     

    Abstract: Arc array synthetic aperture radar (SAR) is a novel array imaging system for wide-area observation. It has a wide range of observations and high resolution. Due to the characteristics of azimuth sampling at equal angular intervals, it is difficult to derive the two-dimension spectrum of the target echo signal, and existing imaging algorithms of linear array are no longer applicable. As for above issues, a new arc array SAR imaging processing method based on high-order approximation of slant range is presented. The method performs high-order approximation for the range model, obtains the two-dimensional spectrum of the target echo signal through series reversion, and then compensates the range migration and the coupling of distance and azimuth in the two-dimensional frequency domain. Finally, obtains the focused image. Simulation analysis of the point targets validates the effectiveness of the imaging approach.

     

/

返回文章
返回