PRECISION SAR PROCESSING USING CHIRP SCALING
PRECISION SAR PROCESSING USING CHIRP SCALING
复制标题
DOI：
10.1109/36.298008
复制
发表时间：
1994-07-01
影响因子：
8.2
通讯作者：
WONG, FH
中科院分区：
文献类型：
--
作者：
RANEY, RK;RUNGE, H;WONG, FH
在合成孔径雷达（SAR）数据处理过程中，无论是传统的距离/多普勒（R/D）算法还是相关的频域技术，都需要采用空变插值来补偿信号能量在距离分辨单元中的迁移。一般来说，插值需要大量的计算时间，并导致图像质量的损失，特别是在复杂的图像。新的线性调频定标算法避免了插值，但距离单元迁移校正准确。该算法只需要复数乘法和傅里叶变换来实现，是固有的相位保持，并适用于宽测绘带，大波束宽度，和大斜视的应用。本文介绍了线性调频缩放算法，总结了模拟结果，提出了图像处理的算法，并审查其性能的定量措施。基于定量比较，线性调频缩放算法提供的图像质量等于或优于精密距离/多普勒处理器。在所测试的参数范围内，图像质量结果接近由系统带宽定义的理论极限。
A space-variant interpolation is required to compensate for the migration of signal energy through range resolution cells when processing synthetic aperture radar (SAR) data, using either the classical range/Doppler (R/D) algorithm or related frequency domain techniques. In general, interpolation requires significant computation time, and leads to loss of image quality, especially in the complex image. The new chirp scaling algorithm avoids interpolation, yet performs range cell migration correction accurately. The algorithm requires only complex multiplies and Fourier transforms to implement, is inherently phase preserving, and is suitable for wide-swath, large-beamwidth, and large-squint applications. This paper describes the chirp scaling algorithm, summarizes simulation results, presents imagery processed with the algorithm, and reviews quantitative measures of its performance. Based on quantitative comparison, the chirp scaling algorithm provides image quality equal to or better than the precision range/Doppler processor. Over the range of parameters tested, image quality results approach the theoretical limit, as defined by the system bandwidth.