Global navigation satellite system is indispensable to provide positioning, navigation, and timing information for pedestrians and vehicles in location-based services. However, tree canopies, although considered as valuable city infrastructures in urban areas, adversely degrade the accuracy of global navigation satellite system positioning as they attenuate the satellite signals. This article proposes a bagging tree-based global navigation satellite system pseudorange error prediction algorithm, by considering two variables, including carrier to noise C/N₀ and elevation angle θ_e to improve the global navigation satellite system positioning accuracy in the foliage area. The positioning accuracy improvement is then obtained by applying the predicted pseudorange error corrections. The experimental results shows that as the stationary character of the geostationary orbit satellites, the improvement of the prediction accuracy of the BeiDou navigation satellite system solution (85.42% in light foliage and 83.99% in heavy foliage) is much higher than that of the global positioning system solution (70.77% in light foliage and 73.61% in heavy foliage). The positioning error values in east, north, and up coordinates are improved by the proposed algorithm, especially a significant decrease in up direction. Moreover, the improvement rate of the three-dimensional root mean square error of positioning accuracy in light foliage area test is 86% for BeiDou navigation satellite system/global positioning system combination solutions, while the corresponding improvement rate is 82% for the heavy foliage area test.

全球导航卫星系统对于在基于位置的服务中为行人和车辆提供定位，导航和计时信息必不可少。然而，树冠层虽然被认为是市区中有价值的城市基础设施，但由于它们会衰减卫星信号，因此会不利地降低全球导航卫星系统定位的准确性。本文提出的基于树装袋全球导航卫星系统伪距误差预测算法，通过考虑两个变量，包括载波噪声ç / Ñ ₀和仰角θ _ë以提高全球导航卫星系统在枝叶区域的定位精度。然后，通过应用预测的伪距误差校正来获得定位精度的提高。实验结果表明，作为对地静止轨道卫星的平稳特性，北斗导航卫星系统解决方案的预测精度提高（浅叶为85.42％，重叶为83.99％）远高于全球定位。系统溶液（浅色叶子为70.77％，重色叶子为73.61％）。该算法提高了东，北和上坐标的定位误差值，尤其是在上方向上的显着减小。而且，