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The use of maximum likelihood estimation for forming images of diffuse radar targets from delay-Doppler data

机译:利用最大似然估计从延迟多普勒数据中形成散射雷达目标的图像

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An approach to high-resolution imaging that starts with a model of the radar echo signal derived from the physics governing radar reflections is presented. The model has been used in the past to describe radar targets that are rough compared to the wavelength of the transmitted radiation. Without specifying precisely what the transmitted signal is, a general estimation-based procedure is derived for obtaining images. After discretizing the model, the radar imaging problem reduces to the task of estimating discretized second-order statistics of the reflectance process of the target. Maximum-likelihood estimates of these statics are obtained as the limit point of an expectation-maximization algorithm.
机译:提出了一种高分辨率成像方法,该方法以从控制雷达反射的物理学中得出的雷达回波信号模型开始。过去曾使用该模型来描述雷达目标,这些目标与发射辐射的波长相比要粗糙一些。在没有精确指定发射信号是什么的情况下,导出了用于获取图像的基于估计的通用过程。离散化模型后,雷达成像问题简化为估算目标反射过程离散化二阶统计量的任务。获得这些静态的最大似然估计作为期望最大化算法的极限点。

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