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1. 发明申请

US20070211916A1 Method Of Detecting A Target With A Cfar Thresholding Function Using Clutter Map Entries 审中-公开
标题翻译：使用杂波映射条目检测具有Cfar阈值函数的目标的方法
公开(公告)号：US20070211916A1
公开(公告)日：2007-09-13
申请号：US10593456
申请日：2005-03-22
申请人： Iain Smith , Adrian Shalley , Adrian Britton , Samantha Lycett , Michael Evans
发明人： Iain Smith , Adrian Shalley , Adrian Britton , Samantha Lycett , Michael Evans
IPC分类号： G06K9/00
CPC分类号： G01S7/2927 , G01S13/04 , G01S13/723
摘要： 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 to neighbouring parts of the scene; characterized in that (i) the method further comprises the 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 the presence of clutter.
摘要翻译：一种在场景中检测目标的方法包括以下步骤：（a）获得对应于来自场景的不同部分的返回的数据元素的第一数据集; 以及（b）通过参照对应于对场景的相邻部分的返回的数据元素来确定场景的一部分的检测阈值; 其特征在于，（i）所述方法还包括以下步骤：（c）获得仅对应于来自所述场景的不同部分的杂波返回的数据元素的第二数据集; 和（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; 和（ii）在步骤（b）中，在确定检测阈值时折扣在步骤（d）中识别为与杂波返回相对应的数据元素。该方法提供了改进的目标检测杂波的存在。

2. 发明申请

US20090052737A1 Method and Apparatus for Detecting a Target in a Scene 有权
标题翻译：用于检测场景中的目标的方法和装置
公开(公告)号：US20090052737A1
公开(公告)日：2009-02-26
申请号：US11918066
申请日：2006-04-13
申请人： Samantha Lycett
发明人： Samantha Lycett
IPC分类号： G06K9/00 , G01S13/00
CPC分类号： G01S13/91 , G01S2013/916
摘要： A method of detecting a target in a scene is described that comprises the step of taking one or more data sets, each data set comprising a plurality of normalised data elements, each normalised data element corresponding to the return from a part of the scene normalised to a reference return for the same part of the scene. The method then involves thresholding (16) at least one of the normalised data elements of each of said one or more data sets. The thresholding step (16) comprises comparing each of the normalised data elements to at least first and second thresholds, wherein the first threshold is greater than the second threshold. The use of one or more confirmation scans (18) in combination with the thresholding step is also described. A radar system is also described that uses the method to detect foreign object debris (FOD) on a surface such as an airport runway.
摘要翻译：描述了一种检测场景中的目标的方法，其包括采取一个或多个数据集的步骤，每个数据集包括多个归一化数据元素，每个归一化数据元素对应于来自场景的一部分的返回归一化为参考回报为同一部分的场景。该方法然后涉及将所述一个或多个数据集中的每一个的归一化数据元素中的至少一个阈值化（16）。阈值步骤（16）包括将每个归一化数据元素与至少第一和第二阈值进行比较，其中第一阈值大于第二阈值。还描述了与阈值步骤组合使用一个或多个确认扫描（18）。还描述了使用该方法来检测诸如机场跑道的表面上的异物碎片（FOD）的雷达系统。

3. 发明申请

US20060132354A1 Method of detecting a target 有权
标题翻译：检测目标的方法
公开(公告)号：US20060132354A1
公开(公告)日：2006-06-22
申请号：US10543583
申请日：2004-01-29
申请人： Gavin Beard , Robert Horey , Richard Lane , Samantha Lycett
发明人： Gavin Beard , Robert Horey , Richard Lane , Samantha Lycett
IPC分类号： G01S13/52
CPC分类号： G01S7/2926 , G01S13/5246 , G01S13/726
摘要： A method for processing returns from a sensor, such as a radar system, in order to identify targets is provided. The method uses a track before detect routine to integrate data from several scans in order to give better discrimination. In running the track before detect routine however a number of possible target motions are postulated and the data combined accounting for such motions. A result above a threshold may then be indicative to a target present and moving with the postulated velocity. The method gives more accurate target detection as the combined data at the correct target motion postulate is more consistent than transient noise and clutter. Once a target has been identified it is preferably removed from the data set in searching for additional targets.
摘要翻译：提供了一种用于处理从诸如雷达系统的传感器返回的方法，以便识别目标。该方法使用检测程序之前的轨迹来整合来自几个扫描的数据，以便更好地区分。然而，在检测例程之前运行轨道，假设了许多可能的目标运动，并且数据组合考虑了这种运动。然后，阈值以上的结果可以指示目标存在并且以假定的速度移动。该方法提供更准确的目标检测，因为正确的目标运动假设的组合数据比瞬态噪声和杂波更一致。一旦已经识别出目标，则优选在搜索附加目标时从数据集中去除目标。

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