多种选星算法在GNSS组合导航中的应用分析

Analysis of multiple satellite selection algorithms in GNSS integrated navigation

  • 摘要: 多系统组合导航下可见卫星的数量显著增加,同时观测数据冗余会使移动终端的定位效率降低,而高效的选星算法能够提高动态导航的实时性.本文根据选星算法的原理,将8种选星算法划分为基于几何精度因子(geometry dilution of precision,GDOP)最小的选星算法和基于空间几何分布的选星算法两类.在介绍各种选星算法原理的基础上,综合分析算法的优缺点,并通过实例验证各选星算法在GNSS四系统组合导航中的性能.

     

    Abstract: The number of visible satellites of global navigation satellite system increases significantly, and the redundancy of observation data reduces the positioning efficiency of mobile terminals, while efficient satellite selection algorithms can improve the real-time performance of dynamic navigation. In this paper, according to the principle of satellite selection algorithms, eight satellite selection algorithms are classified into two categories: satellite selection algorithms based on the minimum of geometric accuracy factor and satellite selection algorithms based on spatial geometric distribution. Based on the principles of satellite selection algorithms, the paper introduces various algorithms, analyzes their advantages and disadvantages, and verifies the performance of each algorithm in GNSS four-system integrated navigation through examples.

     

/

返回文章
返回