A Zenith Tropospheric Delay Modeling Method for Sparse Reference Station Network Considering Elevation Difference

Abstract

The invention discloses a sparse reference station network zenith troposphere delay modeling method considering the elevation difference. Conventional local area network enhancement PPP (precise point position) modeling methods do not consider effects caused by the elevation difference on the interpolation accuracy and depend on a certain amount of reference stations. According to the method, the relation between the elevation difference and zenith troposphere delay is considered, reference station zenith troposphere wet delay values are calculated through non-ionosphere combined precise point filtering, zenith troposphere dry delay values are calculated through a model, the dry (wet) delay values are divided into an elevation strong correlation part and an elevation weak correlation part according to the relation between the troposphere delay values and elevation factors, and the sparse reference station network zenith troposphere delay modeling method considering the elevation difference is provided on the basis. The method considers the effects caused by the elevation difference on the troposphere delay values, is applicable to sparse reference station local area networks and is low in dependence on the number of the reference stations.

Description

technical field [0001] The invention relates to the field of positioning and monitoring, in particular to a zenith tropospheric delay modeling method for a sparse reference station network that takes into account elevation differences, and is the basis for the research on high-precision and fast positioning of regional reference stations enhanced PPP (Precise Point Position) important part. Background technique [0002] With the perfection and development of the satellite positioning system, the accuracy and reliability of the positioning and monitoring targets are getting higher and higher. In high-precision positioning and navigation calculations, the relative positioning method is usually used, but when the distance between the rover stations is long, the differential positioning method is affected by errors and cannot quickly and accurately obtain precise positioning results. Therefore, for large-scale operations, in order to improve positioning, increasing the number o...

AI Technical Summary

Problems solved by technology

In the field of PPP, the current regionally enhanced PPP zenith tropospheric error modeling methods are mostly based on the Regional Continuous Operational Reference System (CORS), which has certain requirements for the number and spatial distance of reference stations, and relies on sparse reference for remote areas. Poor regional applicability of station enhancements

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