PROCESS OF PROBABILISTIC MULTI-SOURCE MULTI-INT FUSION BENEFIT ANALYSIS
    1.
    发明申请
    PROCESS OF PROBABILISTIC MULTI-SOURCE MULTI-INT FUSION BENEFIT ANALYSIS 审中-公开
    概率多源融合优势分析方法

    公开(公告)号:US20150205760A1

    公开(公告)日:2015-07-23

    申请号:US14600904

    申请日:2015-01-20

    CPC classification number: G06N5/04 G06F17/18 G06N99/005

    Abstract: A method of fusing sensor detection probabilities. The fusing of detection probabilities may allow a first force to detect an imminent threat from a second force, with enough time to counter the threat. The detection probabilities may include accuracy probability of one or more sensors and an available time probability of the one or more sensors. The detection probabilities allow a determination of accuracy of intelligence gathered by each of the sensors. Also, the detection probabilities allow a determination of a probable benefit of an additional platform, sensor, or processing method. The detection probabilities allow a system or mission analyst to quickly decompose a problem space and build a detailed analysis of a scenario under different conditions including technology and environmental factors.

    Abstract translation: 一种融合传感器检测概率的方法。 检测概率的融合可能允许第一个力量从第二个力量中检测即将发生的威胁,并有足够的时间来对抗威胁。 检测概率可以包括一个或多个传感器的精度概率和一个或多个传感器的可用时间概率。 检测概率允许确定由每个传感器收集的智能的准确性。 此外,检测概率允许确定附加平台,传感器或处理方法的可能的益处。 检测概率允许系统或任务分析人员在不同的条件下快速分解问题空间并构建对场景的详细分析,包括技术和环境因素。

    Associating signal intelligence to objects via residual reduction

    公开(公告)号:US10024661B2

    公开(公告)日:2018-07-17

    申请号:US15081208

    申请日:2016-03-25

    Abstract: Generally discussed herein are systems and apparatuses that are configured to and techniques for associating a SIGnal INTelligence (SIGINT) signal with an object or tracklet. According to an example a technique can include estimating Times of Arrival (ToAs) at each of a plurality of collectors of a first signal from each of a plurality of moving transmitters, each first signal transmitted from a transmitter on a tracklet extracted from video data and received at the plurality of collectors, wherein a location of each of the plurality of collectors is known, comparing each estimated ToA to a respective actual ToA of a SIGINT signal received at each of the collectors, or determining a likelihood that the signal corresponds to the SIGINT signal to determine whether the SIGINT signal was transmitted from a transmitter on the corresponding tracklet.

    Associating signal intelligence to objects via residual reduction
    3.
    发明授权
    Associating signal intelligence to objects via residual reduction 有权
    通过剩余减少将信号智能与物体相关联

    公开(公告)号:US09297654B2

    公开(公告)日:2016-03-29

    申请号:US14180439

    申请日:2014-02-14

    Abstract: Generally discussed herein are systems and apparatuses that are configured to and techniques for associating a SIGnal INTelligence (SIGINT) signal with an object or tracklet. According to an example a technique can include estimating Times of Arrival (ToAs) at each of a plurality of collectors of a first signal from each of a plurality of moving transmitters, each first signal transmitted from a transmitter on a tracklet extracted from video data and received at the plurality of collectors, wherein a location of each of the plurality of collectors is known, comparing each estimated ToA to a respective actual ToA of a SIGINT signal received at each of the collectors, or determining a likelihood that the signal corresponds to the SIGINT signal to determine whether the SIGINT signal was transmitted from a transmitter on the corresponding tracklet.

    Abstract translation: 这里通常讨论的是配置为将SIGNAL INTelligence(SIGINT)信号与对象或轨迹相关联的技术的系统和装置。 根据一个示例,技术可以包括估计来自多个移动发射机中的每一个的第一信号的多个收集器中的每一个的到达时间(ToAs),每个第一信号从从视频数据提取的轨迹上的发射机发送, 在所述多个收集器处接收,其中所述多个收集器中的每一个的位置是已知的,将每个估计的ToA与在每个收集器处接收的SIGINT信号的相应实际ToA进行比较,或者确定所述信号对应于 SIGINT信号,以确定SIGINT信号是否从对应的轨迹上的发射器发送。

    Process of probabilistic multi-source multi-INT fusion benefit analysis

    公开(公告)号:US10068177B2

    公开(公告)日:2018-09-04

    申请号:US14600904

    申请日:2015-01-20

    Abstract: A method of fusing sensor detection probabilities. The fusing of detection probabilities may allow a first force to detect an imminent threat from a second force, with enough time to counter the threat. The detection probabilities may include accuracy probability of one or more sensors and an available time probability of the one or more sensors. The detection probabilities allow a determination of accuracy of intelligence gathered by each of the sensors. Also, the detection probabilities allow a determination of a probable benefit of an additional platform, sensor, or processing method. The detection probabilities allow a system or mission analyst to quickly decompose a problem space and build a detailed analysis of a scenario under different conditions including technology and environmental factors.

    ASSOCIATING SIGNAL INTELLIGENCE TO OBJECTS VIA RESIDUAL REDUCTION
    5.
    发明申请
    ASSOCIATING SIGNAL INTELLIGENCE TO OBJECTS VIA RESIDUAL REDUCTION 有权
    通过残留减少相关信号智能对象

    公开(公告)号:US20160209212A1

    公开(公告)日:2016-07-21

    申请号:US15081208

    申请日:2016-03-25

    Abstract: Generally discussed herein are systems and apparatuses that are configured to and techniques for associating a SIGnal INTelligence (SIGINT) signal with an object or tracklet. According to an example a technique can include estimating Times of Arrival (ToAs) at each of a plurality of collectors of a first signal from each of a plurality of moving transmitters, each first signal transmitted from a transmitter on a tracklet extracted from video data and received at the plurality of collectors, wherein a location of each of the plurality of collectors is known, comparing each estimated ToA to a respective actual ToA of a SIGINT signal received at each of the collectors, or determining a likelihood that the signal corresponds to the SIGINT signal to determine whether the SIGINT signal was transmitted from a transmitter on the corresponding tracklet.

    Abstract translation: 这里通常讨论的是配置为将SIGNAL INTelligence(SIGINT)信号与对象或轨迹相关联的技术的系统和装置。 根据一个示例,技术可以包括估计来自多个移动发射机中的每一个的第一信号的多个收集器中的每一个的到达时间(ToAs),每个第一信号从从视频数据提取的轨迹上的发射机发送, 在所述多个收集器处接收,其中所述多个收集器中的每一个的位置是已知的,将每个估计的ToA与在每个收集器处接收的SIGINT信号的相应实际ToA进行比较,或者确定所述信号对应于 SIGINT信号,以确定SIGINT信号是否从对应的轨迹上的发射器发送。

    ASSOCIATING SIGNAL INTELLIGENCE TO OBJECTS VIA RESIDUAL REDUCTION
    6.
    发明申请
    ASSOCIATING SIGNAL INTELLIGENCE TO OBJECTS VIA RESIDUAL REDUCTION 有权
    通过残留减少相关信号智能对象

    公开(公告)号:US20140270368A1

    公开(公告)日:2014-09-18

    申请号:US14180439

    申请日:2014-02-14

    Abstract: Generally discussed herein are systems and apparatuses that are configured to and techniques for associating a SIGnal INTelligence (SIGINT) signal with an object or tracklet. According to an example a technique can include estimating Times of Arrival (ToAs) at each of a plurality of collectors of a first signal from each of a plurality of moving transmitters, each first signal transmitted from a transmitter on a tracklet extracted from video data and received at the plurality of collectors, wherein a location of each of the plurality of collectors is known, comparing each estimated ToA to a respective actual ToA of a SIGINT signal received at each of the collectors, or determining a likelihood that the signal corresponds to the SIGINT signal to determine whether the SIGINT signal was transmitted from a transmitter on the corresponding tracklet.

    Abstract translation: 这里通常讨论的是配置为将SIGNAL INTelligence(SIGINT)信号与对象或轨迹相关联的技术的系统和装置。 根据一个示例,技术可以包括估计来自多个移动发射机中的每一个的第一信号的多个收集器中的每一个的到达时间(ToAs),每个第一信号从从视频数据提取的轨迹上的发射机发送, 在所述多个收集器处接收,其中所述多个收集器中的每一个的位置是已知的,将每个估计的ToA与在每个收集器处接收的SIGINT信号的相应实际ToA进行比较,或者确定所述信号对应于 SIGINT信号,以确定SIGINT信号是否从对应的轨迹上的发射器发送。

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