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Optimal processings design for synthetic aperture radar

机译:合成孔径雷达的优化处理设计

摘要

Synthetic aperture radar (SAR) is a microwave imagery system capable ofproducingudhigh resolution images by processing properly data collected by a relativelyudsmall antenna.udIn this papet the bi-dimensionnal received signal, using spatial coordinates, isudformulated. The image is reconstructed by a two- dimensionnal filtering operationud. We propose a straightforward derivation for the coherent sommation methodud(or bock-projection of range responses) and the 2-D azimuth matched filtering .udThe image quality is determined by that of the ambiguity fonction. This latter isudanalyzed and optimized for two performance criteria. First, for a matched filterudreceiver (maximal signal-to-noise ratio receiver), the optimal waveform is shownudta be a non linear FM pulse which autocorrelationfunction is a Taylor . The optimaludazmiuth weighting fonction is related to that of Taylor by a Fourier transform .udSecond, for a Wiener filter (least mean-squares receiver), we show that the optimaludwaveform is the firstprolate spheroidal fonction . The single-hit measurementudof the scattering matrix by mean of two optimal orthogonal waves is discussed .udResolutions, SNR as well as ambiguities, are specified .
机译:合成孔径雷达(SAR)是一种微波成像系统,能够通过适当处理相对较小的天线收集的数据来产生高分辨率图像。在此文档中,使用空间坐标对二维接收信号进行了格式化。通过二维滤波操作 ud重建图像。我们提出了相干求和方法 ud(或距离响应的博克投影)和二维方位角匹配滤波的直接推导。 ud图像质量由模糊函数确定。针对两个性能标准对后者进行了分析和优化。首先,对于匹配的滤波器接收器(最大信噪比接收器),最佳波形显示为 u n非线性非线性FM脉冲,其自相关函数为Taylor。最佳 udazmiuth加权函数通过傅立叶变换与泰勒函数相关。 udSecond,对于维纳滤波器(最小均方接收器),我们证明最佳 udwave波形是第一扁球面函数。讨论了通过两个最佳正交波对散射矩阵的单次测量 ud。确定了分辨率,SNR以及歧义。

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