针对多假目标欺骗干扰下的分布式组网雷达，提出了一种抗干扰的数据处理方法。该方法包括单雷达多目标跟踪-航迹关联检验-串行滤波融合3个步骤。首先各雷达分站独立进行多目标跟踪，获得各分站下真假目标对应的各个航迹。接着，对来自不同雷达的航迹进行关联检验，使真目标对应的航迹被保留，而假目标对应的航迹被拒绝。最后，在融合中心对通过关联检验的航迹进行融合，使对真目标的跟踪精度大大提高。仿真试验表明了该数据处理方法可使组网雷达有效剔除假目标，且更精确地跟踪真实目标。

To reject multi-false-target deception jamming, a data processing method was investigated for distributed radar network. The method involved three steps: multi-target tracking through single radar, trajectory association and test, serial filter and fusion. Firstly, multi-target tracking were performed independently by each of the radar in the network, and the trajectories of the true targets and false targets were obtained. Secondly, association and test were made for the trajectories obtained from different radars, on which basis the true targets' trajectories were kept and the false targets' trajectories were rejected. Finally, the trajectories passed the test were fused in the fusion center of the radar network, and the tracking accuracy of true targets was improved greatly. Simulation results show that radar network can reject the false targets effectively and track the true target more precisely using this method.