Geolocation using high order statistics

    公开(公告)号:US09383203B2

    公开(公告)日:2016-07-05

    申请号:US14107215

    申请日:2013-12-16

    Inventor: Webster Dove

    CPC classification number: G01C15/00 G01S5/0252

    Abstract: A specific emitter identification (SEI) method and apparatus is capable of identifying and tracking objects within a geographical area of interest wherein the system and method has not been preprogrammed to look for particular signals. The system and method receives all of the emitted electromagnetic signals emitted from area of interest. The system and method next performs high order statistical analysis on the received signals and determines which signals emanate from possible targets of interest and which likely emanate from background clutter/noise by comparing the relative degrees of Gaussianness of the signals (for example using entropy measurements). The least Gaussian signals are deemed to likely be signals from potential targets of interest while those which are more Gaussian are deemed to be likely from background clutter or noise.

    GEOLOCATION USING HIGH ORDER STATISTICS
    2.
    发明申请
    GEOLOCATION USING HIGH ORDER STATISTICS 审中-公开
    使用高阶统计的地理

    公开(公告)号:US20140107970A1

    公开(公告)日:2014-04-17

    申请号:US14107215

    申请日:2013-12-16

    Inventor: Webster Dove

    CPC classification number: G01C15/00 G01S5/0252

    Abstract: A specific emitter identification (SEI) method and apparatus is capable of identifying and tracking objects within a geographical area of interest wherein the system and method has not been preprogrammed to look for particular signals. The system and method receives all of the emitted electromagnetic signals emitted from area of interest. The system and method next performs high order statistical analysis on the received signals and determines which signals emanate from possible targets of interest and which likely emanate from background clutter/noise by comparing the relative degrees of Gaussianness of the signals (for example using entropy measurements). The least Gaussian signals are deemed to likely be signals from potential targets of interest while those which are more Gaussian are deemed to be likely from background clutter or noise.

    Abstract translation: 具体的发射体识别(SEI)方法和装置能够识别和跟踪感兴趣的地理区域内的物体,其中系统和方法尚未被预编程以寻找特定的信号。 系统和方法接收从感兴趣区域发射的所有发射的电磁信号。 接下来,系统和方法对接收到的信号执行高阶统计分析,并且通过比较信号的高斯相关度(例如使用熵测量)来确定哪些信号从可能的感兴趣的目标发出并且可能由背景杂波/噪声发出, 。 最低高斯信号被认为可能是来自潜在的感兴趣目标的信号,而那些更高斯的信号被认为可能来自背景杂波或噪声。

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