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Accuracy analysis of a combined Common-view time Comparison algorithm of GNSS navigation system based on Kalman filtering and RTS filtering

机译:基于卡尔曼滤波和RTS滤波的组合GNSS导航系统共视时间比较算法的精度分析

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Post event time comparison technique based on GNSS is the key to time synchronization and time service. And it is also an important measure to correct the time difference of GNSS receiver and to improve its design and performance. The traditional post - time comparison is usually based on the Kalman filtering algorithm. This paper focuses on the algorithm of GNSS common-view time alignment based on Kalman filtering and RTS smoothing afterwards. In this paper we use CETC54 self-developed satellite navigation receiver to test the accuracy of combined common-view time comparison algorithm of GNSS navigation system based on Kalman filtering and RTS filtering. The test results show that the accuracy of common view time matching algorithm with RTS smoothing algorithm is better than the accuracy of a conventional common-view time comparison algorithm based on Kalman filtering.
机译:基于GNSS的事后时间比较技术是时间同步和时间服务的关键。这也是纠正GNSS接收机时差,提高其设计和性能的重要措施。传统的后时间比较通常基于卡尔曼滤波算法。本文重点研究了基于卡尔曼滤波和事后RTS平滑的GNSS共视时间对准算法。本文采用CETC54自主研发的卫星导航接收机,对基于卡尔曼滤波和RTS滤波的GNSS导航系统组合共视时间比较算法的精度进行了测试。测试结果表明,采用RTS平滑算法的普通视图时间匹配算法的精度优于传统的基于卡尔曼滤波的普通视图时间比较算法的精度。

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