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Estimation of Overspread Scattering Functions

机译:过度散射函数的估计

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摘要

In many radar scenarios, the radar target or the medium is assumed to possess randomly varying parts. The properties of the target are described by a random process known as the spreading function. Its second order statistics under the WSSUS assumption are given by the scattering function. Recent developments in operator sampling theory suggest novel channel sounding procedures that allow for the determination of the spreading function given complete statistical knowledge of the operator echo from a single sounding by a weighted pulse train. We construct and analyze a novel estimator for the scattering function based on these findings. Our results apply whenever the scattering function is supported on a compact subset of the time-frequency plane. We do not make any restrictions either on the geometry of this support set, or on its area. Our estimator can be seen as a generalization of the averaged periodogram estimator for the case of a non-rectangular geometry of the support set of the scattering function.
机译:在许多雷达场景中,假定雷达目标或介质具有随机变化的部分。目标的属性通过称为扩散函数的随机过程描述。在WSSUS假设下,其二阶统计量由散射函数给出。运营商采样理论的最新发展提出了新颖的信道探测程序,在给定完整的操作员回声的统计信息后,可以通过加权脉冲序列确定扩频函数,从而确定扩频函数。基于这些发现,我们构建并分析了散射函数的新型估计器。只要在时频平面的紧凑子集上支持散射函数,我们的结果就适用。我们对该支持集的几何形状或其面积都没有任何限制。对于散射函数的支持集的非矩形几何体,我们的估计器可以看作是平均周期图估计器的一般化。

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