Abstract

Static Network Code Dgps Positioning vs. Carrier Phase Single Baseline Solutions for Short Observation time and Medium-Long DistancesGPS land surveys are usually based on the results of processing GPS carrier phase data. Code or pseudorange observations due to considerations of accuracy requirements and robustness are preferred in navigation and some GIS applications. Generally, the accuracy of that positioning is in the range of about 1-2 meters or so, on average. But the main problem in code GPS positioning is to know how to estimate the real accuracy of DGPS positions. It is not such an easy process in code positioning when one reference station is used. In most commercial software, there are no values of accuracy but only positions are presented. DGPS positions without estimated errors cannot be used for surveying tasks and for most GIS applications due to the fact that every point has to be have accuracy determined. However, when we used static GPS positioning, it is well known that the accuracy is determined, both during baseline processing and next by the adjustment of a GPS network. These steps of validation with redundancy in classical static phase baseline solutions allow wide use of static or rapid static methods in the main land surveying tasks. Although these control steps are commonly used in many major surveying and engineering tasks, they are not always effective in terms of short-observation-time sessions. This paper presents a new network DGPS approach of positioning with the use of at least three reference stations. The approach concerns also valid accuracy estimation based on variance-covariance (VC) matrix in the least-squares (LS) calculations. The presented network DGPS approach has the ability of reliable accuracy estimation. Finally, network DGPS positioning is compared with static baselines solutions where five-min sessions were taken into consideration for two different rover stations. It was shown that in a short observation time of GPS positioning, code network DGPS results can give even centimetre accuracy and can be more reliable than static relative phase positioning where gross errors often happen.

Highlights

  • There are many different needs in practice for surveying, engineering or navigation tasks in terms of accuracy of GNSS (Global Navigation Satellite Systems) positioning

  • If traditional available GPS methods of positioning are used, there are methods based on carrier phase with centimetre accuracy or based on code/pseudorange observations used rather in navigation or in some Geographic Information

  • For the present demands for Geographic InformationSystems (GIS) database, quick GNSS positioning with a reliable accuracy of 20-30 cm is extremely very welcome

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Summary

INTRODUCTION

There are many different needs in practice for surveying, engineering or navigation tasks in terms of accuracy of GNSS (Global Navigation Satellite Systems) positioning. Carrier phase ambiguity resolution is limited in longer baselines by measurement errors that are not removed in the double-referencing process These errors are grouped into spatially correlated errors (atmospheric and satellite position errors) and uncorrelated errors (receiver noise and multipath). The presented network methods seem much more reliable than classical positioning we should note that the final results depend on the quality of base data, and on the rover observations. It means that the quality of rover GPS data is still essential in baseline solutions. In the iterative LS solution a weight matrix is used for valid and reliable accuracy estimation of determined positions

CODE NETWORK DGPS POSITIONING
RELATIVE PHASE POSITIONING
NUMERICAL EXAMPLE
SUMMARY and CONCLUSIONS
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