针对距离多假目标干扰下雷达网优化选择问题, 建立了虚假目标量测点的马氏距离模型；在此基础上, 根据非中心卡方分布的性质, 分析了非中心参量的变化对虚假目标错误鉴别概率的影响；然后分别研究了雷达网同目标的相对位置、欺骗距离、雷达量测误差与非中心参量的关系, 继而得到其对雷达网虚假目标错误鉴别概率的影响；最后进行仿真实验验证了分析的正确性, 对雷达网优化选择具有理论指导意义。

The optimizing selection of radar network under jamming of multiple range false targets was studied. Firstly, a Mahalanobis distance model of false-target measurement point was built up. On which basis, analysis was made to the influence of non-central parameter to false discriminating probability of false targets. Then the relationships between non-central parameter and the relative location of radar network and target, deception distance, and radar measure error were discussed separately. Therefore, their influences to radar network false-discriminating probability of false targets were obtained. Simulation results verify the correctness of the analysis, which is of theoretical value to deployment optimization of radar network.