BDS-2 Broadcast Ephemeris Orbit Error Compensation Based on ABC-BP Neural Network
作者单位：College of Geodesy and Geomatics Shandong University of Science and Technology Key Laboratory of Geomatics and Digital Technology of Shandong Province Shandong University of Science and Technology Beijing Satellite Navigation Center
会议名称：《第十三届中国卫星导航年会》
会议日期：2022年
学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 08[工学] 080401[工学-精密仪器及机械] 081105[工学-导航、制导与控制] 0804[工学-仪器科学与技术] 0835[工学-软件工程] 0825[工学-航空宇航科学与技术] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）]
关 键 词：Broadcast ephemeris Satellite orbit error Neural network Error model AODE
摘 要：With the completion of BeiDou Navigation Satellite System（BDS） constellation deployment, the research on improving the service performance of BDS has become the focus. Broadcast ephemeris is a prerequisite for normal navigation in real time navigation and positioning. The real-time performance of broadcast ephemeris results in bad orbit accuracy, and its error variation cannot be accurately described by mathematical model, which has a unignorable impact in positioning and navigation. Based on this research background, we take Multi-GNSS Experiment（MGEX） precision ephemeris as reference and use Back Propagation（BP） Neural Network（NN） and Artificial Bee Colony Algorithm（ABC） optimized BP NN to model the orbit error of broadcast ephemeris to improve the its orbit accuracy. The experimental results show that the two NN models have good modeling effect on broadcast ephemeris orbit error, and the orbit accuracy of broadcast ephemeris of different satellites is improved by 20%-80%.ABC-BP NN has higher accuracy than BP NN, and the results of 3 and 5 days of different orbit types show that it has better ability to control error accumulation, and has better error compensation results for broadcast ephemeris in short and medium term.