A step cycle slip detection and repair method based on double-constraint of ephemeris and smoothed pseudorange
A step cycle slip detection and repair method based on double-constraint of ephemeris and smoothed pseudorange
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DOI：
10.13168/agg.2019.0028
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发表时间：
2019-11
影响因子：
0.9
通讯作者：
Fangchao Li
中科院分区：
文献类型：
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作者：
Fangchao Li
大多数周跳(CS)处理方法都是基于伪距和相位观测的线性组合，伪距的粗大误差会导致结果的错误。从这个角度出发，提出了一种基于卫星轨道和平滑伪距的新方法，该方法分为粗略过程和详细过程两个步骤。在第一个过程中，我们计算并比较卫星到接收机距离和相位观测之间的TD（时间差）模型差异，以获得系统误差。我们利用预测和计算之间的差异来检测和修复巨大的错误。在第二个过程中，我们在相位观测上添加-3到+3个周期，用于通过消除电离层方法平滑伪距，然后通过验证WL-MW、L1和L2的模糊度以及平滑后的伪距和相位观测的差异来搜索唯一误差。此外，利用前历元电离层信息构建的探测器来测试LS（最小二乘）的估计。第一个过程可以正确地检测和修复高采样率数据集的整数错误，同时将低采样率数据集的整数错误限制在较小的范围内。 IGS（国际 GNSS 服务）低采样率和高采样率的数据集用于验证所提出的方法。高采样率数据集实验表明，在测试9个站点时，GODN的640.778个观测值中只有4个未能修复错误。低采样率数据集实验表明，所有站点的平均成功率约为99.56%。 DYNG站的L1和L2频率成功率最低分别为99.20%和99.21%，HRAO站的L1和L2频率最高均达到99.83%。文章信息 文章历史记录： 接收日期 2019年4月15日 接受日期 2019年8月20日 在线发布 2019年11月13日
Most cycle slip (CS) processing methods are based on the linear combinations of pseudorange and phase observation, and the gross error on pseudorange can lead to mistakes on the results. From this perspective, a novel method is proposed relying on satellite orbit and smoothed pseudorange, which is divided into two steps: rough and detailed process. During the first process, we calculate and compare the TD (Time Difference) model difference between satelliteto-receiver distance and phase observation to get the systematic error. We use the difference between the predicted and calculated to detect and fix the massive mistake. During the second process, we add -3 to +3 cycles on phase observation which is used to smooth pseudorange by an eliminating ionospheric method, then we search the unique error by validating the ambiguity of WL-MW, L1 and L2, and the difference of smoothed pseudorange and phase observation. Besides, the detectors constructed by ionospheric information of previous epochs are used to test the estimation by LS (least square). The first process can correctly detect and repair the integer error for high sampling rate datasets while limiting it in a small range for low sampling rate datasets. The datasets from IGS (International GNSS Service) with low and high sampling rate are used to verify the proposed method. High sampling rate datasets experiment shows there are only 4 among 640.778 observations from GODN is failed to repair the error when testing 9 stations. Low sampling rate datasets experiment shows that the average success rate of all stations is about 99.56 %. The lowest success rate of L1 and L2 frequency reaches 99.20 % and 99.21 %, respectively of DYNG station, while the highest reaches 99.83 % of both L1 and L2 of HRAO station. ARTICLE INFO Article history: Received 15 April 2019 Accepted 20 August 2019 Available online 13 November 2019