Error Detection in GPS Observations by Means of Multi-Process Models
The main purpose of this article is to present the idea of using Multi-process models as a method of detecting errors in GPS observations.
The theory behind Multi-process models, and. double differenced phase observations in GPS is presented shortly.
It is shown how to model cycle slips in the Multi-process context by means of a simple simulation. The simulation is used to illustrate how the method works, and it is concluded that the method deserves further investigation.
KeywordsDynamic Linear Modeling Kaiman filter detection of cycle slips GPS
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