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Quantum Two-Mode Squeezing Radar and Noise Radar: Correlation Coefficients for Target Detection

机译:量子双模挤压雷达和噪声雷达:目标检测的相关系数

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Quantum two-mode squeezing (QTMS) radars and noise radars detect targets by correlating the received signal with an internally stored recording. A covariance matrix can be calculated between the two which, in theory, is a function of a single correlation coefficient. This coefficient can be used to decide whether a target is present or absent. We can estimate the correlation coefficient by minimizing the Frobenius norm between the sample covariance matrix and the theoretically expected form of the matrix. Using simulated data, we show that the estimates follow a Rice distribution whose parameters are simple functions of the underlying, "true" correlation coefficient as well as the number of integrated samples. We obtain an explicit expression for the receiver operating characteristic curve that results when the correlation coefficient is used for target detection. This is an important first step toward performance prediction for QTMS radars.
机译:量子双模挤压(QTMS)雷达和噪声雷达通过将接收信号与内部存储的记录相关联来检测目标。可以在两者之间计算协方差矩阵,其在理论上是单个相关系数的函数。该系数可用于决定目标是否存在或不存在。我们可以通过最小化样本协方差矩阵与基质的理论预期形式之间的Frobenius标准来估计相关系数。使用模拟数据,我们表明估计遵循稻米分布,其参数是底层的简单功能,“真实”相关系数以及集成样本的数量。我们获取接收器操作特性曲线的显式表达式,当相关系数用于目标检测时导致的结果。这是对QTM雷达的性能预测的重要第一步。

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