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公开(公告)号：US09519049B1
公开(公告)日：2016-12-13
申请号：US14501115
申请日：2014-09-30
申请人： Raytheon Company
摘要： Methods and apparatus to receive radar pulses, process the received pulses using weighted finite state machine to learn a model of an unknown emitter generating the received radar pulses, and estimate a state/function of the unknown emitter based on the received radar pulses using the learned model, and predict the next state/function of the unknown emitter based on the received radar pulses and applying maximum likelihood estimation.
摘要翻译： 接收雷达脉冲的方法和装置，使用加权有限状态机处理接收到的脉冲，以学习产生接收到的雷达脉冲的未知发射器的模型，并且使用所学习的接收的雷达脉冲来估计未知发射器的状态/功能 模型，并基于接收的雷达脉冲预测未知发射器的下一个状态/功能，并应用最大似然估计。
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公开(公告)号：US20160248787A1
公开(公告)日：2016-08-25
申请号：US14629795
申请日：2015-02-24
申请人： Raytheon Company
IPC分类号： H04L29/06
CPC分类号： H04L63/1416 , G06N7/005 , H04L63/1441
摘要： A system creates a dynamic stochastic network using data relating to events. The dynamic stochastic network includes super nodes, local nodes, and agents. Connections among the super nodes and local nodes include events that are related to the super nodes and the local nodes. Strengths of the connections between the super nodes and local nodes are a function of a number of events that are common to the super nodes and local nodes. The connections are made and broken as the agents interact over time. The strengths of the connections increase and decrease as a function of a change in the number of events that the super nodes and local nodes have in common. An instability metric is calculated for the dynamic stochastic network, and an emerging group threat behavior is detected based on a deviation from the instability metric.
摘要翻译： 系统使用与事件相关的数据创建动态随机网络。 动态随机网络包括超级节点，本地节点和代理。 超级节点和本地节点之间的连接包括与超级节点和本地节点相关的事件。 超级节点和本地节点之间的连接优势是超级节点和本地节点共有的事件数量的函数。 当代理人随时间进行交互时，连接被建立和断开。 连接的优点随着超级节点和本地节点共同的事件数量的变化而增加和减少。 针对动态随机网络计算不稳定度量，并且基于偏离不稳定性度量来检测出现的组威胁行为。
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公开(公告)号：US20180260649A1
公开(公告)日：2018-09-13
申请号：US15453669
申请日：2017-03-08
申请人： RAYTHEON COMPANY
CPC分类号： G06K9/3241 , G02B26/0833 , G06K9/20 , G06K9/741 , G06K2009/4695 , H03M7/3062 , H04N5/7458 , H04N5/919
摘要： An optical system for capturing an image using compressive sensing includes: a digital micromirror device (DMD) array; an optical lens system; a first optical detector array; a first optical channel for projecting spatial information onto the first detector array; a second optical detector array; a second optical channel; a spectral filter and a polarization filter for projecting spectral and polarization information onto the second detector array; and an image processor to control the DMD array to generate a first and a second set of samples of the image using a sampling rate lower than required by the Shannon-Nyquist sampling theorem, and to reconstruct the image from the samples collected and digitized by the first and second optical detector arrays.
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公开(公告)号：US10282630B2
公开(公告)日：2019-05-07
申请号：US15453669
申请日：2017-03-08
申请人： RAYTHEON COMPANY
摘要： An optical system for capturing an image using compressive sensing includes: a digital micromirror device (DMD) array; an optical lens system; a first optical detector array; a first optical channel for projecting spatial information onto the first detector array; a second optical detector array; a second optical channel; a spectral filter and a polarization filter for projecting spectral and polarization information onto the second detector array; and an image processor to control the DMD array to generate a first and a second set of samples of the image using a sampling rate lower than required by the Shannon-Nyquist sampling theorem, and to reconstruct the image from the samples collected and digitized by the first and second optical detector arrays.
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公开(公告)号：US09749339B2
公开(公告)日：2017-08-29
申请号：US14629795
申请日：2015-02-24
申请人： Raytheon Company
CPC分类号： H04L63/1416 , G06N7/005 , H04L63/1441
摘要： A system creates a dynamic stochastic network using data relating to events. The dynamic stochastic network includes super nodes, local nodes, and agents. Connections among the super nodes and local nodes include events that are related to the super nodes and the local nodes. Strengths of the connections between the super nodes and local nodes are a function of a number of events that are common to the super nodes and local nodes. The connections are made and broken as the agents interact over time. The strengths of the connections increase and decrease as a function of a change in the number of events that the super nodes and local nodes have in common. An instability metric is calculated for the dynamic stochastic network, and an emerging group threat behavior is detected based on a deviation from the instability metric.
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