超宽带SAR改进平面子孔径成像算法

An Improved PSAP Algorithm for UWB-SAR Imaging

本文提出了一种用于机载叶簇穿透(FOPEN)超宽带合成孔径雷达(UWB-SAR)的改进平面子孔径处理(PSAP)成像算法。分析了适用于UWB—SAR的PSAP算法的推导过程,提出了一种新的梯形(keystone)变换,结合本文提出的用线性调频z变换(CZT)和傅立叶反变换(IFFT)实现梯度变换和极坐标的变换中的插值运算,大大降低了插值运算所需的运算量,提高了成像质量。分析了子孔径划分的条件。通过计算机仿真,验证了算法的有效性。

In this paper an improved planar subarray processing (PASP) algo-rithm for airborne foliage penetration (FOPEN) ultra-wide band (UWB) imaging is presented. At first, the PSAP algorithm for UWB-SAR are derived and analyzed. Anovel keystone transformation are preposed, combine with the chirp-z transformtion and inverse Fourier transformation, realizing the interpolation in keystone transformation and polar coordination transformation. The computation load of interpolation is refuced effectively, and the imaging resolutions are improved. The condition for subarray diviation are analyzed. Finally, this algorithm is tested by computer simulation.