用无人机GPS系统对雷达进行精度评定的方法

Radar precision assessment using GPS on an unmanned aerial vehicle

提出了一种新的雷达精度评定方法 ,即利用搭载全球定位系统 (GPS)的小型无人机做为雷达的跟踪目标 ,对雷达测量精度进行评定。在研究评定方法的基础上 ,分析了数据处理方法和雷达评定工作对 GPS系统定位精度的要求。为了提高无人机的定位精度 ,系统采用了差分 GPS定位技术 ,即根据地面基准站测量 GPS的定位误差来修正无人机的测量结果 ,并采用 Kalman滤波方法来抑制观测噪声 ,进一步提高无人机的定位精度。仿真测试表明 ,这种方法可以满足雷达评定的精度要求 ,同时具有简单、经济。

A new method is proposed for precise assessment of radar. A small unmanned aerial vehicle (UAV) with globle position system (GPS) acts as the moving radar system target. The UAV position data and the radar data can be used to evaluate the radar precision. The UAV data processing and requests to GPS are discussed. The system precision can be improved using the DGPS technology with error data from a terrestrial station to correct the UAV positioning data. A Kalman filter is also used to reduce the effects of disturbances. Simulation results clearly reveal the advantages of this method.