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The Research and Algorithm Design of Target Deception Hypothesis Testing Based on Position Residual

机译:基于位置残差的目标欺骗假设检测研究与算法

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Based on the characteristics of ADS-B system’s open architecture vulnerable to interference and deception, this paper proposes a target deception hypothesis testing algorithm based on position residual. The target position can be calculated by the hyperbolic positioning principle, and then the residual between the ADS-B message position and hyperbolic positioning analysis position are calculated. According to the system requirements, the hypothesis testing probability and tracking distance threshold are set, so that the false alarm rate of the real target, and the correct detection probability and the shortest detection distance of the deception target can be obtained. Monte-Carlo method is used to simulate four base stations in two scenarios respectively. The results show that the algorithm can effectively distinguish real targets and deception targets, and can obtain the shortest detection distance of deception targets.
机译:基于ADS-B系统的开放式架构的特点,易受干扰和欺骗的基础,提出了基于位置残差的目标欺骗假设检测算法。目标位置可以通过双曲线定位原理来计算,然后计算ADS-B消息位置和双曲线定位分析位置之间的残差。根据系统要求,设定假设检测概率和跟踪距离阈值,从而可以获得真实目标的误报率和欺骗目标的正确检测概率和最短的检测距离。 Monte-Carlo方法分别用于模拟两个场景中的四个基站。结果表明,该算法可以有效地区分真实目标和欺骗目标,并且可以获得欺骗目标的最短检测距离。

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