中文摘要：

目前，主要问题面对了由基于地面扩充系统( GBAS )尽管搬运人变光滑过滤器和本地微分全球放系统( LDGPS )由在它减少噪音并且消除在用户和引用车站之间的几乎所有普通错误改进 pseudorange 的精确性，是那，由于时间的电离层和空间坡度的效果，他们也引起额外的错误。象变光滑的噪音一样基于这些错误的分析，这篇文章建议一个新算法设计最佳的开口过滤器，谁的变光滑的窗户宽度变化与到参考车站的从用户的卫星举起，电离层变化，和距离即时。由与传统的开口过滤器的表演在 GBAS 模拟平台进行放的进程几个小时并且在它的比较以后，在微分修正的错误变得更小，这被发现，放的精确性变得与这个新方法提高了。

英文摘要：

At present, the main problem faced by ground-based augment system （GBAS） is that though carder smoothing filter and local differential global positioning system （LDGPS） improve the accuracy of the pseudorange by reducing the noise in it and eliminating almost all the common errors between the user and the reference station, they also cause extra errors on account of the effects of the ionosphere temporal and spatial gradients. Based on the analysis of these errors as well as the smoothing noise, this article suggests a new algorithm to design the optimal Hatch filter, whose smoothing window width varies real-time with the satellite elevation, ionosphere variation, and distance from the user to the reference station. By conducting the positioning process in the GBAS emulation platform for several hours and after its comparison with the performances of traditional Hatch filters, it is found that the errors in the differential correction become smaller and the positioning accuracy gets heightened with this new method.