复杂信号环境下的GNSS定位星座选择算法

A satellite selection algorithm in complicated GNSS signal environments

为了有效减小全球导航卫星系统(GNSS)接收机在复杂信号环境下的定位误差,提出一种定位星座选择算法.该算法利用简化的距离残差平方和作为检验统计量,该检验统计量可以反映单颗卫星的伪距测量误差进而实时反映定位误差的变化.基于该检验统计量,提出的定位星座选择算法能够检测出多个错误观测量进而将其去除.测试表明,这种定位星座选择算法可以大幅度减小定位点的错误概率,性能优于传统GDOP(几何精度因子)定位星座选择算法;长时间连续定点定位仿真测试中平均有效性超过80%,动态测试中有效性超过70%.

An efficient satellite selection algorithm was proposed for a global navigation satellite system（GNSS） in complicated signal environments.The algorithm used the simplified residual sum of square as the statistic indicator,and was able to reflect the pseudorange measurement error of a single satellite.An operational approach was also proposed to choose a satellite combination for positioning by detecting and excluding single or multiple false measurements,based on the proposed indicator.Tests demonstrate that the proposed algorithm is able to significantly reduce possibility of positioning errors in complicated environments compared with the conventional（geometric dilution of precision）（GDOP） method.The availability of the proposed algorithm is up to 80% on average in static tests and 70% in dynamic tests.