摘要
为提升多点定位技术的坐标解算精度,进一步增强机场场面运行安全监控的数据保障,提出了以TDOA和AOA的原始测量值为起算数据,基于最小二乘原则的三维整网平差算法。该算法以待定点三维坐标为未知参数,以距离测量值之差(到达时间之差)和测站间夹角测量值为起算数据进行联合平差,解算待定点点位的最优估值。通过多点定位测量网仿真计算后的误差及精度对比分析,证明了相较于传统多点定位算法,该算法能够有效降低因测量值随机误差所导致的定位误差,提高定位精度.
In order to improve the coordinate precision of MLAT and enhance the data support for airport surface monitoring,a three-dimensional adjustment algorithm based on the principle of least square was proposed.The algorithm which takes the three-dimensional coordinates of the point as unknown parameters,the time differences of arrivals and the angles of arrivals as initial data is a combined adjustment method to calculate the optimal coordinates of unknown point.By comparing and analyzing the errors and mean square errors for simulation calculation of MLAT measuring net,it's proved that the algorithm can effectively reduce the positioning errors caused by the random errors of measurements and improve the positioning precision.
作者
宋韬
潘卫军
夏正洪
SONG Tao;PAN Wei-jun;XIA Zheng-hong(College of Air Traffic Management,Civil Aviation Flight University of China,Deyang 618307,China)
出处
《数学的实践与认识》
北大核心
2020年第21期39-45,共7页
Mathematics in Practice and Theory
基金
国家重点研发计划资助(2018YFC0809504)
中国民用航空飞行学院青年基金(Q2014-063)
四川省科技厅面上项目(2020YJ0500)。
关键词
机场场面监控
多点定位
三维平差
仿真计算
定位精度
airport surface monitoring
multilateration
three-dimensional adjustment
simulation calculation
positioning precision
