高效UWB-SAR平面子孔径处理成像算法
A Efficient Planar Subarray Processing Algorithm for UWB-SAR Imaging
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摘要: 对各子孔径进行梯形(keystone)变换时的插值运算是平面子孔径处理(PSAP)算法对低频段SAR特别是超宽带(UWB)SAR成像时的主要瓶颈。该文提出用线性调频变换结合Fold FFT实现梯形变换，提高了插值效率，并改进了算法流程，剔除了梯形变换结合Fold FFT中的冗余运算，极大地提高了整个算法的计算效率。计算机仿真和对实际数据进行成像实验的结果表明，经过改进后的PSAP算法能够用于对大场景高分辨率UWB-SAR的实时成像。Abstract: The needed interpolation of keystone transformation used for every subaperture is the bottleneck of imaging for lower frequency Synthetic Aperture Radar(SAR) especially for Ultra Wide Band(UWB) SAR with Planar Sub Aperture Processing(PSAP). A new in-terpolation method for keystone transformation is presented in this paper, and by mending the algorithm, the redundant computation of its realization is eliminated, the efficiency of the algorithm is improved notably. The computer simulation and the real data test results show that the modified PSAP can be applied to real-time UWB-SAR imaging of wide scene with fine resolution.
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