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1.发明申请SYSTEM AND METHOD FOR DISTRIBUTION FREE TARGET DETECTION IN A DEPENDENT NON-GAUSSIAN BACKGROUND 有权在非依赖性非高斯背景下分配免费目标检测的系统和方法公开(公告)号：US20140361919A1
公开(公告)日：2014-12-11
申请号：US13912596
申请日：2013-06-07
IPC分类号： G01S13/00
CPC分类号： G01S13/006 , G01S7/2923 , G01S7/2927
摘要： A method for target detection includes: receiving input data via an input signal; generating a histogram from the received data by a processor; rank-ordering the received data based on power or amplitude of the received input signal; comparing the ranked data received in a current time period to the ranked data received in a previous time period to calculate a Bivariate Conditional Exceedance function (BCEF); utilizing the calculated BCEF to estimate a Gumbel Copula parameter; accumulating a log-likelihood statistic from the estimated Gumbel Copula parameter and the generated histogram; comparing the log-likelihood statistic with a threshold value; and determining a detection of the target, when the log-likelihood statistic is below the threshold value.
摘要翻译： 一种用于目标检测的方法包括：经由输入信号接收输入数据; 由处理器从所接收的数据生成直方图; 基于所接收的输入信号的功率或振幅对接收的数据进行排序排序; 将在当前时间段中接收的排名数据与在先前时间段中接收的排名数据进行比较，以计算双变量条件超越函数（BCEF）; 利用计算出的BCEF来估计Gumbel Copula参数; 从估计的Gumbel Copula参数和生成的直方图中累积对数似然统计量; 将对数似然统计量与阈值进行比较; 以及当所述对数似然统计量低于所述阈值时，确定所述目标的检测。
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2.发明授权System and method for distribution free target detection in a dependent non-Gaussian background 有权在非依赖非高斯背景下无分布目标检测的系统和方法公开(公告)号：US09188666B2
公开(公告)日：2015-11-17
申请号：US13912596
申请日：2013-06-07
CPC分类号： G01S13/006 , G01S7/2923 , G01S7/2927
摘要： A method for target detection includes: receiving input data via an input signal; generating a histogram from the received data by a processor; rank-ordering the received data based on power or amplitude of the received input signal; comparing the ranked data received in a current time period to the ranked data received in a previous time period to calculate a Bivariate Conditional Exceedance function (BCEF); utilizing the calculated BCEF to estimate a Gumbel Copula parameter; accumulating a log-likelihood statistic from the estimated Gumbel Copula parameter and the generated histogram; comparing the log-likelihood statistic with a threshold value; and determining a detection of the target, when the log-likelihood statistic is below the threshold value.
摘要翻译： 一种用于目标检测的方法包括：经由输入信号接收输入数据; 由处理器从所接收的数据生成直方图; 基于所接收的输入信号的功率或振幅对接收的数据进行排序排序; 将在当前时间段中接收的排名数据与在先前时间段中接收的排名数据进行比较，以计算双变量条件超越函数（BCEF）; 利用计算出的BCEF来估计Gumbel Copula参数; 从估计的Gumbel Copula参数和生成的直方图中累积对数似然统计量; 将对数似然统计量与阈值进行比较; 以及当所述对数似然统计量低于所述阈值时，确定所述目标的检测。
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