复杂环境下的卫星导航选星算法

Research on Satellite Selection Algorithm in Complex Environment

针对当前选星算法基于理性环境设计和在多系统兼容接收机中运算量巨大的问题,从复杂使用环境模型出发,提出了具有运算量小、各种使用环境下均能保持较好星座构型的复杂环境选星算法。仿真分析结果表明该方法在运算量方面大幅度优于其他算法,全局几何精度因子(Global Dilution of Precision,GDOP)在理性环境下与其他方法接近,在复杂环境下优于其他方法。

The current satellite selection algorithms are designed for rational environment and they have a huge computation load in multi-system GNSS receivers.Aiming at these problems,this paper proposes a new satellite selection algorithm in complex environment.The simulation results show that this algorithm is better than other algorithms in computation load,and its GDOP approaches that of other algorithms in rational environment and is better in complex environment.