Abstract

In Indonesia, Global Navigation Satellite System (GNSS) has become one of the important tool in survey mapping, especially for cadastral purposes like land registration by using Real Time Kinematic (RTK) GNSS positioning method. The conventional RTK GNSS positioning method ensure high accuracy GNSS position solution (within several centimeters) for baseline less than 20 kilometers. The problems of resolving high accuracy position for a greater distance (more than 50 kilometers) becomes greater challenge. In longer baseline, atmospheric delays is a critical factor that influenced the positioning accuracy. In order to reduce the error, a modified LAMBDA ambiguity resolution, atmospheric correction and modified kalman filter were used in this research. Thus, this research aims to investigate the accuracy of estimated position and area in respect with short baseline RTK and differential GNSS position solution by using NAVCOM SF-3040. The results indicate that the long-range single baseline RTK accuracy vary from several centimeters to decimeters due to unresolved biases.

Highlights

  • As a breakthrough technology in position determination, Global Navigation Satellite System (GNSS) has become one of the important tool in survey mapping

  • Real Time Kinematic (RTK) GNSS ensure the high accuracy in point determination, in conventional RTK GNSS the high accuracy can only be obtained for baseline less than 20 kilometers [16]

  • For medium to long baseline RTK GNSS, the atmospheric bias is considered as the dominant factor which lead into unresolved ambiguity resolution

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Summary

Introduction

As a breakthrough technology in position determination, Global Navigation Satellite System (GNSS) has become one of the important tool in survey mapping. For medium to long baseline RTK GNSS, the atmospheric bias is considered as the dominant factor which lead into unresolved ambiguity resolution. Consider GNSS signal travelling from a satellite to two receivers that are in a distant, the signal would be subjected to a different atmospheric effects. It has been found that atmospheric bias affect more error in vertical component rather than in horizontal component which up to several decimeters in RTK GNSS positioning [20, 21]. Several researches has stated that orbital error [22] and satellite clock error [23] indicate as the problems in GNSS-based positioning system. The GNSS satellite clock tends to run faster than the clocks in the receivers

Data and Basic Concept
Observation Models in RTK
General Kalman Filter System Design
Precise Satellite Ephemeris
Ambiguity Resolution
Result and Discussion
Horizontal Accuracy
Overall Precision
Area Estimation
Conclusion
Findings
Sathe Pooja “Vehicle Tracking System using GPS” In

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