Aiming at the problems of complex factors affecting the rate of deception probability of networked of radar nets, the large amount of calculation by Monte Carlo simulation and the inability to quantitatively analyze the influence of various factors on the deception probability of networked, a calculation method of deception probability of networked is proposed. First, according to the homology measurement method based on the Mahalanobis distance, the probability density model of the deception probability of networked is calculated. Its probability density model obeys the non-central chi-square distribution. Then, a hypothesis test model is established to calculate the deception probability of networked mathematical expression. The simulation results show that the error between the calculation method of the deception probability of networked and the calculation result of 1000 times Monte Carlo is less than 2%. The method in this article can analyze the quantitative effect of false target position, interference distance interval, radar position, true target position, and other factors on the deception probability of networked, instead of Monte Carlo simulation, to provide a trade-off between the true target recognition rate and the deception probability of networked theoretical basis.

针对影响雷达网组网欺骗概率的因素复杂，蒙特卡罗模拟计算量大，无法定量分析各种因素对组网欺骗概率影响的问题，提出一种提出了网络的欺骗概率。首先，根据基于马氏距离的同源性度量方法，计算出网络欺骗概率的概率密度模型。其概率密度模型服从非中心卡方分布。然后，建立假设检验模型，计算网络数学表达式的欺骗概率。仿真结果表明，网络化的欺骗概率计算方法与1000次蒙特卡罗计算结果的误差小于2%。本文的方法可以分析虚假目标位置、干扰距离间隔、雷达位置、真实目标位置等因素对网络欺骗概率的定量影响，而不是蒙特卡罗模拟，提供一种权衡真实目标识别率和欺骗概率的网络化理论基础。