【摘要】 为减小卫星信号干扰和空间分布对定位结果的影响，提出一种顾及信噪比的蝙蝠选星算法。通过设置信噪比阈值，剔除信号受干扰的卫星，为蝙蝠算法提供先验条件；再结合算法搜索最优卫星组合快的优势，减小选星耗时。选取MGEX平台提供的IGS基准站观测数据进行实验分析，结果表明：对于定位结果偏差较大的时刻，与最小几何精度因子遍历法相比，顾及信噪比的蝙蝠选星算法能改善定位精度，提高选星效率。更多还原

【Abstract】 In order to reduce the influence of satellite signal interference and spatial distribution on positioning results, a bat satellite selection algorithm considering signal-to-noise ratio was proposed. By setting the signal-to-noise ratio threshold, the satellites with disturbed signals were eliminated, which provided a priori condition for the bat algorithm. Combined with the advantage of fast searching for the optimal satellite combination, the algorithm reduced the time consumption of satellite selection. The observation data of IGS reference station provided by MGEX platform were selected for experimental analysis. The results show that for the time with large deviation of positioning results, compared with the minimum geometric accuracy factor traversal method, the bat satellite selection algorithm considering signal-to-noise ratio can improve positioning accuracy and satellite selection efficiency.更多还原