一种无人机数据链电磁干扰自适应新方法

针对复杂电磁环境容易对无人机数据链造成干扰，严重威胁无人机的飞行安全的问题，提出了一种基于环境感知的无人机数据链电磁干扰自适应新方法，能够提高无人机的主动抗干扰能力.数据链工作信号动态变化过程中，对应的电磁干扰效应阈值呈非线性变化趋势，通过选取训练样本和观测值，采用相关向量机回归（RVR）的方法建立动态数据链干扰阈值训练模型，预测不同工作信号条件下的电磁干扰阈值.建立无人机数据链电磁干扰自适应专家系统，利用机载电磁干扰环境监测平台确定电磁干扰特征参量，根据训练模型预测目标值，判别数据链电磁干扰等级.在此基础上，综合利用技战术方案，自主有效地消除外界电磁干扰对无人机数据链的影响. 

A New Method for UAV's Datalink Adaptive to EMI

Complex electromagnetic environment can easily interfere with unmanned aerial vehicle''s (UAV''s) datalink, which seriously threatens the flight safety of UAV. In this paper, a new method of UAV''s datalink adaptive to electromagnetic interference (EMI) was proposed based on environmental perception. This method was arranged to improve the active anti-jamming ability of UAV. The corresponding EMI thresholds were made to change nonlinearly with the dynamic change of the UAV''s operation signals. After selecting training sample variables and observation values, adopting a method of the relevance vector machine regression (RVR), a dynamic training model was established to reasonably predict the EMI thresholds under different operation signals. An expert system was established for UAV''s datalink adapted for EMI. Then, the EMI characteristic parameters were determined by the airborne EMI environment monitoring platform. And the interfered levels of the datalink against EMI were distinguished based on the prediction of the target value by using the trained model. Combining the the technology schemes and the tactical schemes, the new method can be used to effectively eliminate the effect of the EMI on the UAV''s datalink.