一种基于FrFT的波数域SAR成像算法  

A New Wavenumber Domain Algorithm Based on the Fractional Fourier Transform

作　　者：王双喜[1] 谭鸽伟[1] 

机构地区：[1]华侨大学信息科学与工程学院,福建厦门361021

出　　处：《现代雷达》2013年第8期43-49,共7页Modern Radar

基　　金：福建省自然科学基金资助项目(2013J01242)

摘　　要：针对波数域算法运算量较大的问题,文中提出了一种基于分数阶傅里叶变换(FrFT)的波数域SAR成像算法。该算法通过剩余相位补偿和FrFT取代Stolt插值完成了距离徒动校正和IFT变换,大大降低了算法的计算复杂度;另一方面在方位向完成了剩余方位压缩和IFT变换,实现高分辨率高精度成像的目的。仿真结果表明,该算法计算简单快速,并且成像精度优于传统的波数域算法。Aiming at the high compute complexity of wavenumber domain algorithm, a novel wavenumber domain SAR imaging algorithm based on the fractional Fourier transform （FrFF） is presented. In the algorithm, the Stolt interpolation is replaced by the remaining phase compensation and FrFT, which are utilized to perform the bulk range cell migration correcting and the inverse fourier transform. Hence the computational efficiency is improved significantly. On the other hand, FrFT is applied to complete the remaining azimuth compression and the Inverse fourier transform, to achieve high resolution and high precision imaging for targets in radar imaging. The results of simulation show that the algorithm is much simple in implementation, and the efficiency and accuracy of the proposed method are much better than the traditional wavenumber domain algorithm.

关 键 词：合成孔径雷达 波数域算法 分数阶傅里叶变换 距离徒动校正 Stolt插值 

分 类 号：TN957.52[电子电信—信号与信息处理]