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Distortion Correction and Scene Size Limits for SAR Bistatic Polar Format Algorithm

机译:SAR BISTOGIOL FORM格式算法的失真校正和场景大小限制

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The polar format algorithm (PFA) efficiently implements the computationally complex synthetic aperture radar (SAR) matched filter (MF) using a first-order Taylor series approximation of the differential range in the MF kernel. Using the approximation causes spatially varying distortion and defocus effects in the SAR image. These limitations have motivated research into developing distortion and defocus correction algorithms. Alternatively, the distortion and defocus effects may be mitigated by limiting the size of the image. While several solutions to these problems have been published for monostatic PFA, significantly less work has been published in the area of bistatic PFA, which offers operational advantages and geometric flexibility over the monostatic case. In this paper, a temporal Taylor series expansion based analysis of the MF phase and PFA phase is used to derive both a distortion correction algorithm, and scene size limitation for a SAR image produced using bistatic PFA.
机译:极性格式算法(PFA)使用MF内核中的差分范围的一阶泰勒级近似有效地实现了计算复杂的合成孔径雷达(SAR)匹配的滤波器(MF)。使用近似导致SAR图像中的空间变化的失真和散焦效应。这些局限性具有开发变形和散焦校正算法的研究。或者,可以通过限制图像的尺寸来减轻变形和散焦效果。虽然已经出版了对单体PFA的几个解决方案,但在双晶PFA面积上发表了显着较少的工作,该工作已经在单体案例中提供了运行优势和几何灵活性。在本文中,使用基于MF相和PFA相的时间泰勒序列扩展分析,用于导出失真校正算法,以及使用双孔PFA产生的SAR图像的场景尺寸限制。

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