论文标题
噪声类型雷达：检测的概率与相关系数和整合时间
Noise-Type Radars: Probability of Detection vs. Correlation Coefficient and Integration Time
论文作者
论文摘要
噪声雷达具有与称为量子两种模式挤压雷达的量子雷达相同的数学描述。尽管它们的物理实现非常不同，但这种数学相似性使我们能够集体分析它们。我们可以将两种类型的雷达视为形成一类称为噪声型雷达的一类雷达。噪声类型雷达的目标检测性能取决于两个参数：集成样品的数量和相关系数。在本文中，我们表明，当集成样品的数量较大并且相关系数较低时，检测性能将成为单个参数的函数：集成样品的数量乘以相关系数的平方。然后，我们探讨了以这种紧急参数为角度的噪声类型雷达的检测性能。特别是，我们确定检测的概率是该参数的函数。
Noise radars have the same mathematical description as a type of quantum radar known as quantum two-mode squeezing radar. Although their physical implementations are very different, this mathematical similarity allows us to analyze them collectively. We may consider the two types of radars as forming a single class of radars, called noise-type radars. The target detection performance of noise-type radars depends on two parameters: the number of integrated samples and a correlation coefficient. In this paper, we show that when the number of integrated samples is large and the correlation coefficient is low, the detection performance becomes a function of a single parameter: the number of integrated samples multiplied by the square of the correlation coefficient. We then explore the detection performance of noise-type radars in terms of this emergent parameter; in particular, we determine the probability of detection as a function of this parameter.
