基于数据驱动的无人机加权最小二乘定位算法

Weighted Least Square Positioning Algorithm of UAV Based on Data Drive

近年来,随着商用无人机的飞速发展与普及,频发的无人机误闯事件使无人机管控相关部门面临严峻考验,实时、动态和精确的无人机导航信息的获取成为无人机管控的关键。无人机一旦起飞,无人机用户需实时掌握其准确位置并在必要时采取措施防止误闯事件发生。鉴于此,分析了全球导航卫星系统(GNSS)历史观测数据,构建了基于数据驱动的无人机加权最小二乘定位算法用于无人机导航定位解算。仿真试验表明,该算法在一定情况下可有效提高无人机定位精度。

In recent years,with the rapid development and popularization of commercial unmanned aerial vehicle(UAV),the frequent intrusion event of UAV have caused the relevant departments facing severe pressure,and the acquisition of real-time,dynamic and accurate UAV navigation information has become the key to UAV management.Once the UAV takes off,the UAV users should get the accurate location in real time and take measures to prevent intrusions if necessary.In view of this,the historical observation data of global navigation satellite system(GNSS)are analyzed,and then the UAV weighted least square positioning algorithm based on data drive is proposed for UAV navigation and location solution.The simulation experimental results show that the algorithm can improve the positioning accuracy of UAV.