当前位置: X-MOL 学术Surv. Rev. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
A highly adaptable method for GNSS cycle slip detection and repair based on Kalman filter
Survey Review ( IF 1.6 ) Pub Date : 2020-04-29 , DOI: 10.1080/00396265.2020.1756107
Xianwen Yu 1 , Siqi Xia 1
Affiliation  

The cycle slip detection and repair are crucial steps in the preprocessing of GNSS carrier phase observation. Currently, however, there are few cycle slip detection and repair methods that can meet the data processing needs for diverse situations. To solve this problem, a highly adaptable cycle slip detection and repair method is proposed. First, a cycle slip detection equation is established using the pseudo-range and carrier double-differenced (DD) observations; the state equation is developed based on the satellite-ground distance. Then, a Kalman filter estimation model is established by joining the two equations. Subsequently, the cycle slip can be detected and repaired. Finally, the state parameters are refined in accordance with the conditional distribution. According to the results of the example, all the simulated cycle slips are detected and repaired by the method proposed. It shows that the method can meet the data processing needs for multiple situations.



中文翻译:

基于卡尔曼滤波器的高度适应性GNSS循环滑动检测与修复方法

循环滑移检测和修复是GNSS载波相位观测的预处理中的关键步骤。但是,目前,很少有能够满足多种情况下数据处理需求的周跳检测和修复方法。为了解决这个问题,提出了一种适应性强的周期滑动检测与修复方法。首先,使用伪距和载波双差(DD)观测值建立周跳检测方程;根据卫星到地面的距离来开发状态方程。然后,通过结合两个方程建立卡尔曼滤波器估计模型。随后,可以检测并修复循环滑移。最后,根据条件分布对状态参数进行细化。根据示例的结果,所提出的方法可以检测并修复所有模拟的循环滑移。结果表明,该方法可以满足多种情况下的数据处理需求。

更新日期:2020-04-29
down
wechat
bug