一种多台交会测量数据的实时融合处理方法

摘要

为了进一步提高光电经纬仪伺服引导的精度,提出了一种多台经纬仪交会测量数据实时融合处理方法.该方法充分利用各测站的测量信息,通过自动优选交会方法、最小二乘数据融合算法以及外推引导函数的生成等实时数据融合算法计算得到经纬仪引导数据.结果表明,该方法大大提高了光电经纬仪的伺服引导精度.%A new algorithm-multi-theodolite intersection measurement and dynamic data combining-was proposed in order to improve the theodolite servo vectoring accuracy. This method makes full use of the stations measurement data,through the automatic optimization intersection method,the least squares data fusion algorithm and extrapolating guide function formation and then use the real-time data fusion algorithm to calculate the data for theodolite servo guidance. The simulation results prove that the algorithm can greatly improve the servo guided precision.