GNSS导航系统快速选星算法研究

Study on fast satellite selection algorithm for GNSS navigation system

基于用户对卫星定位导航系统精度和实时性的要求不断提高的目的,本文深入研究了传统选星算法,并通过MATLAB仿真分析的方法,对比了3种选星算法:基于仰角和方位角的算法、改进的四面体体积法、改进的行列式法,得出基于仰角、方位角的算法与最小几何因子法的精度偏差小于1.98%,计算量明显减少;改进的行列式法、改进的四面体体积法,在允许的误差范围内,实时性得到明显改善,由此可证明这3种快速选星算法,在GNSS系统中可行。

Based on users' demands about positioning accuracy and real-time of satellite navigation system continue to increase,this paper researched traditional satellite selection algorithms,and compared three improved satellite selection algorithms through MATLAB simulation analysis method.It is concluded that when compared with the traditional optimal GDOP method,the improved algorithm which based on elevation and azimuth has a deviation less than 1.98% and needs less computation time.Besides,the real-time performance can be improved significantly by using the improved largest absolute value algorithm and maximum tetrahedral volume algorithm.All these above verify the feasibility of the three fast satellite selection algorithms in GNSS navigation system.