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METHOD OF DETECTING A TARGET WITH A CFAR THRESHOLDING FUNCTION USING CLUTTER MAP ENTRIES

机译:杂波图映射特征的具有CFAR阈值功能的目标检测方法

摘要

METHOD OF DETECTING A TARGET WITH A CFAR THRESHOLDING FUNCTION USING CLUTTER MAP ENTRIES[err]Abstract: A method of detecting a target in a scene comprises the steps of (a) obtaining a first data set of data elements which correspond to returns from different parts of the scene; and (b) determining a detection threshold for a part of the scene by reference to data elements corresponding to returns from neighbouring parts of the scene; characterised in that (i) the method further comprisesthe steps of (c) obtaining a second data set of data elements which correspond only to clutter returns from different parts of the scene; and (d) identifying clutter returns in the first data set by comparing the first and second data sets; and (ii) in step (b), data elements identified in step (d) as corresponding to clutter returns are discounted in determining the detection threshold. The method provides for improved target detection in the presence of clutter.
机译:杂波图映射特征的具有CFAR阈值功能的目标检测方法[呃]摘要:一种检测场景中目标的方法,包括以下步骤:(a)获得数据元素的第一数据集,对应于场景不同部分的回报; (b)通过参考确定场景的一部分的检测阈值对应于场景邻近部分返回的数据元素;其特征在于,(i)该方法还包括(c)获得仅对应于场景不同部分的杂波返回的数据元素的第二数据集的步骤;(d)通过比较第一和第二数据集来识别第一数据集中的杂波返回; (ii)在步骤(b)中,数据元素在确定检测阈值时,将在步骤(d)中标识为与杂波返回相对应的值打折。该方法提供用于在杂波情况下改进目标检测。

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