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首页> 外文期刊>Aerospace and Electronic Systems, IEEE Transactions on >An Autoregressive Formulation for SAR Backprojection Imaging
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An Autoregressive Formulation for SAR Backprojection Imaging

机译：SAR反投影成像的自回归公式

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摘要

We present a recursive backprojection-based procedure for synthetic aperture imaging. In traditional synthetic aperture radar (SAR) imaging, radar measurements are processed in blocks of contiguous azimuth angle measurements. In continuous imaging applications, block processing generally entails significant computational overhead, in part due to overlapped processing of azimuth intervals. We consider a novel recursive update approach, in which the SAR image is updated using an autoregressive-based algorithm as new measurements are taken. In this approach, the SAR image is found as a linear combination of a small number of previous images and a term containing the current radar measurement. The computational and memory requirements of the recursive imaging approach are modest—on the order of $Mcdot N^2$, where $M$ is the recursion order (typically $leq3$) and $N^2$ is the image size. In addition, we investigate the crossrange sidelobes realized by the autoregressive (AR) imaging approach. We show that a first-order autoregression of the image gives crossrange sidelobes similar to a rectangular azimuth window, while a third-order autoregression gives sidelobes comparable to those obtained from widely-used windows in block-processing image formation. We compare images obtained from the recursive and block-processing techniques, both for a synthetic scene and for X-band SAR measurements from the Gotcha data set.
机译：我们提出了一种基于递归反投影的合成孔径成像程序。在传统的合成孔径雷达（SAR）成像中，雷达测量以连续的方位角测量块进行处理。在连续成像应用中，块处理通常需要大量的计算开销，部分是由于方位间隔的重叠处理。我们考虑一种新颖的递归更新方法，在该方法中，当采用新的测量值时，将使用基于自回归的算法来更新SAR图像。在这种方法中，SAR图像是少量先前图像和包含当前雷达测量值的项的线性组合。递归成像方法的计算和内存要求不高-约为$ Mcdot N ^ 2 $，其中$ M $是递归顺序（通常为$ leq3 $），而$ N ^ 2 $是图像大小。此外，我们研究了通过自回归（AR）成像方法实现的跨瓣旁瓣。我们显示图像的一阶自回归给出类似于矩形方位窗的跨距旁瓣，而三阶自回归给出的旁瓣可与在块处理图像形成中从广泛使用的窗口获得的旁瓣相比。我们比较了从递归和块处理技术获得的图像，这些图像既适用于合成场景，也适用于来自Gotcha数据集的X波段SAR测量。

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