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公开(公告)号：US10690745B2
公开(公告)日：2020-06-23
申请号：US15955987
申请日：2018-04-18
Applicant: Raytheon Company
Inventor： Ian S. Robinson , Stanley I. Tsunoda , Bradley A. Flanders
IPC: G01S3/48 , G01S13/88 , G01S7/02 , G01S13/933
Abstract: An advance warning system including an antenna pair and an RWR system to receive first, second and third signals for computing a frequency for all the signals and a phase difference between the signals. If the frequencies are within a threshold frequency difference and the phase difference is less than a threshold phase difference, two signals can be associated. If the frequencies are not within the threshold frequency difference, the RWR system generates a set of ambiguous angle of arrival AoA for the signals and correlates the two sets of ambiguous AoA to determine if there is a common AoA. If there is a common AoA, a third set of ambiguous angle of arrival AoA for a third signal is generated to determine if the three sets correlate. If there is a common AoA for all three signals, the three signals are associated.
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公开(公告)号：US20170256855A1
公开(公告)日：2017-09-07
申请号：US15062789
申请日：2016-03-07
Applicant: Raytheon Company
Inventor： Ian S. Robinson , Anton Horvath , Bradley A. Flanders
IPC: H01Q3/34
CPC classification number: H01Q3/34 , G01S3/32 , G01S7/021 , H01Q3/2682 , H01Q21/061 , H01Q21/067
Abstract: Antenna systems and methods of detecting RF signals received from a field of view (FOV) are presented, employing intersecting fan beam pluralities formed by associated columns or rows of antenna elements and cross-correlation of components of the received radiation from the fan beam pluralities. The intersecting fan beams pluralities form pencil-like beams persistently spanning the FOV as desired. Angle(s) of arrival and frequency channels of incident RF signals may be determined through power estimation, ranking and filtering, and/or frequency channelization techniques. Higher sensitivity beams may be cued to more accurately characterize the incident signals.
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公开(公告)号：US20150036877A1
公开(公告)日：2015-02-05
申请号：US13959335
申请日：2013-08-05
Applicant: RAYTHEON COMPANY
Inventor： Bradley A. Flanders , Ian S. Robinson , Anthony M. Sommese
IPC: G06K9/46
CPC classification number: G06K9/46 , G06F17/16 , G06K7/146 , G06K9/00557 , G06K9/0063 , G06K9/40 , G06K9/4609 , G06K9/6232 , G06K2009/00644 , G06K2009/4657 , G06T5/20 , G06T2207/10028
Abstract: The disclosure provides a filtering engine for selecting sparse filter components used to detect a material of interest (or specific target) in a hyperspectral imaging scene and applying the sparse filter to a plurality of pixels in the scene. The filtering engine transforms a spectral reference representing the material of interest to principal components space using the eigenvectors of the scene. It then ranks sparse filter components based on each transformed component of the spectral reference. The filtering engine selects sparse filter components based on their ranks. The filtering engine performs the subset selection quickly because the computations are minimized; it processes only the spectral reference vector and covariance matrix of the scene to do the subset selection rather than process a plurality of pixels in the scene, as is typically done. The spectral filter scores for the plurality of pixels are calculated efficiently using the sparse filter.
Abstract translation: 本公开提供了一种用于选择用于检测高光谱成像场景中的感兴趣材料（或特定目标）的稀疏滤波器组件并将该稀疏滤波器应用于场景中的多个像素的滤波引擎。 滤波引擎使用场景的特征向量将表示感兴趣的材料的频谱参考转换为主要分量空间。 然后根据频谱参考的每个变换分量对稀疏滤波器分量进行排序。 过滤引擎根据其排名选择稀疏过滤器组件。 过滤引擎快速执行子集选择，因为计算最小化; 如通常所做的那样，它仅处理场景的频谱参考矢量和协方差矩阵来进行子集选择，而不是处理场景中的多个像素。 使用稀疏滤波器有效地计算多个像素的频谱滤波器分数。
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公开(公告)号：US20190324107A1
公开(公告)日：2019-10-24
申请号：US15955987
申请日：2018-04-18
Applicant: Raytheon Company
Inventor： Ian S. Robinson , Stanley I. Tsunoda , Bradley A. Flanders
Abstract: An advance warning system including an antenna pair and an RWR system to receive first, second and third signals for computing a frequency for all the signals and a phase difference between the signals. If the frequencies are within a threshold frequency difference and the phase difference is less than a threshold phase difference, two signals can be associated. If the frequencies are not within the threshold frequency difference, the RWR system generates a set of ambiguous angle of arrival AoA for the signals and correlates the two sets of ambiguous AoA to determine if there is a common AoA. If there is a common AoA, a third set of ambiguous angle of arrival AoA for a third signal is generated to determine if the three sets correlate. If there is a common AoA for all three signals, the three signals are associated.
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公开(公告)号：US09903933B2
公开(公告)日：2018-02-27
申请号：US14843346
申请日：2015-09-02
Applicant: RAYTHEON COMPANY
Inventor： Ian S. Robinson , Bradley A. Flanders
CPC classification number: G01S3/32
Abstract: A system for determining a direction for an electromagnetic signal. The system includes a receiving array antenna, including a plurality of antenna elements, each antenna element having a position in the receiving array antenna; a digitizer configured to receive an analog signal from each of the antenna elements, and to sample and digitize each of the analog signals to form a sequence of digitized samples from each of the analog signals; and a processing unit. The processing unit is configured to receive the sequences of sample values from the digitizer; and, for each direction of a plurality of hypothesized directions: combine the sample values from the plurality of antenna elements to form a single time record; fit the single time record with a combination of one or more functions of time; and identify a direction at which a measure of the magnitude of the linear combination is greatest.
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Patent Agency Ranking
公开(公告)号：US09098772B2
公开(公告)日：2015-08-04
申请号：US13780767
申请日：2013-02-28
Applicant: RAYTHEON COMPANY
Inventor： Ian S. Robinson , Bradley A. Flanders
CPC classification number: G06K9/62 , G06K9/0063 , G06K9/6247 , G06K2009/00644 , G06K2009/4657
Abstract: In accordance with various aspects of the disclosure, a detecting engine for detecting targets/materials in hyperspectral scenes is disclosed. The detecting engine combines data partitioning and dimensionality reduction to reduce the number of computations needed to identify in which pixels in a hyperspectral scene a given material is present. Computation reduction (in some instances, by two fold) greatly impacts the speed of and power consumed by the detecting engine making the engine suitable for hyperspectral imaging of large scenes, processing using many filters per pixel, or missions requiring testing large numbers of reference spectra to see which are present in a scene.
Abstract translation: 根据本公开的各个方面，公开了一种用于检测超光谱场景中的目标/材料的检测引擎。 检测引擎将数据分割和维数降低相结合，以减少识别给定材料存在于高光谱场景中哪些像素所需的计算次数。 计算减少（在一些情况下，两倍）极大地影响检测引擎的速度和功耗，使发动机适合于大场景的高光谱成像，每像素使用多个滤波器的处理，或需要测试大量参考光谱的任务 以查看场景中存在哪些。
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公开(公告)号：US08995722B2
公开(公告)日：2015-03-31
申请号：US13959335
申请日：2013-08-05
Applicant: Raytheon Company
Inventor： Bradley A. Flanders , Ian S. Robinson , Anthony M. Sommese
CPC classification number: G06K9/46 , G06F17/16 , G06K7/146 , G06K9/00557 , G06K9/0063 , G06K9/40 , G06K9/4609 , G06K9/6232 , G06K2009/00644 , G06K2009/4657 , G06T5/20 , G06T2207/10028
Abstract: The disclosure provides a filtering engine for selecting sparse filter components used to detect a material of interest (or specific target) in a hyperspectral imaging scene and applying the sparse filter to a plurality of pixels in the scene. The filtering engine transforms a spectral reference representing the material of interest to principal components space using the eigenvectors of the scene. It then ranks sparse filter components based on each transformed component of the spectral reference. The filtering engine selects sparse filter components based on their ranks. The filtering engine performs the subset selection quickly because the computations are minimized; it processes only the spectral reference vector and covariance matrix of the scene to do the subset selection rather than process a plurality of pixels in the scene, as is typically done. The spectral filter scores for the plurality of pixels are calculated efficiently using the sparse filter.
Abstract translation: 本公开提供了一种用于选择用于检测高光谱成像场景中的感兴趣材料（或特定目标）的稀疏滤波器组件并将该稀疏滤波器应用于场景中的多个像素的滤波引擎。 滤波引擎使用场景的特征向量将表示感兴趣的材料的频谱参考转换为主要分量空间。 然后根据频谱参考的每个变换分量对稀疏滤波器分量进行排序。 过滤引擎根据其排名选择稀疏过滤器组件。 过滤引擎快速执行子集选择，因为计算最小化; 如通常所做的那样，它仅处理场景的频谱参考矢量和协方差矩阵来进行子集选择，而不是处理场景中的多个像素。 使用稀疏滤波器有效地计算多个像素的频谱滤波器分数。
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公开(公告)号：US08805115B2
公开(公告)日：2014-08-12
申请号：US13667263
申请日：2012-11-02
Applicant: Raytheon Company
Inventor： Bradley A. Flanders , Ian S. Robinson
CPC classification number: H04N5/3675 , G06K2009/00644
Abstract: In accordance with various aspects of the disclosure, a method, system, and computer readable media having instructions for processing images is disclosed. For example, the method includes determining a suspicious pixel suspected of causing an artifact in a measurement as a function of a statistical analysis of a collection of samples representing residual error values associated with a subject focal plane pixel measuring one waveband at different times. Based on the determination of the suspicious pixel, a pattern of residual error values is identified that is indicative of the artifact caused by the suspicious pixel. A correcting time-dependent offset determined that is substantially reciprocal to the identified pattern of residual error values. The correcting time-dependent offset is applied to the measurement to correct for artifact in the measurement.
Abstract translation: 根据本公开的各个方面，公开了一种具有用于处理图像的指令的方法，系统和计算机可读介质。 例如，该方法包括根据对与在不同时间测量一个波段的对象焦平面像素相关联的残余误差值的采样集合的统计分析来确定疑似在测量中引起伪影的可疑像素。 基于可疑像素的确定，识别残留误差值的图案，其指示由可疑像素引起的伪像。 确定与确定的残余误差值的模式基本上相反的校正时间相关偏移。 校正时间相关偏移被应用于测量以校正测量中的假象。
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公开(公告)号：US20240386073A1
公开(公告)日：2024-11-21
申请号：US18198645
申请日：2023-05-17
Applicant: Raytheon Company
Inventor： Adam Hodge Greenberg , Bradley A. Flanders
IPC: G06F17/18
Abstract: Embodiments regard feature fusion with uncertainty, such as for classification. A method includes altering, for each feature of features to be fused and based on a marginal uncertainty distribution corresponding to a feature of the features and the marginal uncertainty distribution accounting for uncertainty in measuring the feature, a marginal feature distribution of the feature resulting in respective marginal feature distributions that account for uncertainty, altering, based on a joint uncertainty covariance of the features, a joint feature covariance of the features resulting in a covariance that jointly accounts for feature covariance and uncertainty covariance, generating, based on the covariance that jointly accounts for feature covariance and uncertainty covariance and the respective marginal feature distributions that account for uncertainty, a joint density function that accounts for feature values and uncertainty, and classifying the features based on the joint density function that accounts for feature values and uncertainty.
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公开(公告)号：US20180306888A1
公开(公告)日：2018-10-25
申请号：US15492712
申请日：2017-04-20
Applicant: Raytheon Company
Inventor： Ian S. Robinson , Bradley A. Flanders
IPC: G01S3/48
Abstract: Methods and systems for determining an angle of arrival (AoA) of a RF emitter signal utilizing phase comparisons between pairs of antennas from among two closely spaced antenna elements and a third antenna element fixedly positioned more distant, and a combination of TDOA and PI techniques, to resolve PI ambiguities. Overlapping AoA ambiguity patterns with different angular spacings may be resolved by TDOA techniques. A span of TDOA AoA possibilities is obtained, centered at a solution to a TDOA angle calculation and bounded by a known TDOA measurement error range.
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