本文利用距离多假目标欺骗干扰下虚假目标检测概率高、与真实目标角度量测相近的特点，提出了基于雷达组网的低可观测目标跟踪方法。根据角度量测信息完成各雷达量测集的划分与融合，对各雷达量测划分进行同源假设检验，利用虚假目标所暴露的真实目标的角度信息，构造低可观测目标的量测输入，对漏检目标进行“补位”，提高低可观测目标跟踪的稳定性。仿真结果证明了该技术的可行性和有效性。

Considering that the detection probability of false target is high under range-velocity deception jamming,which is similar to angle-measurements to the target,we proposed a low observable target tracking method based on radar network.At first,the angle-measurement set of each radar is partitioned according to the angle information,and the measurements within the same partition are fused.Then the hypothesis testing for the same source measurements of each partition is realized and the missed target measurements are compensated.Simulation results verify the feasibility and validity of the proposed algorithm.