Abstract

As the modernized Global Navigation Satellite System (GNSS) method, Real Time Kinematic (RTK) ensures high accuracy of position (within several centimeters). This method uses Ultra High Frequency (UHF) radio to transmit the correction data, however, due to gain and power issues, Networked Transport of RTCM via Internet Protocol (RTCM) is used to transmit the correction data for a longer baseline. This Research aims to investigate the performance of short to long-range single baseline RTK GNSS (Up to 80 KM) by applying modified LAMBDA method to resolve the ambiguity in carrier phase. The RTK solution then compared with the differential GNSS network solution. The results indicate that the differences are within RTK accuracy up to 80 km are several centimeter for horizontal solution and three times higher for vertical solution.

Highlights

  • Global Navigation Satellite System or commonly abbreviated as GNSS is a satellite based point or moving object positioning system

  • Absolute point positioning uses stand-alone receiver GNSS while relative point positioning use two receivers GNSS on the same time observation as base and rover, which can be referred as differential positioning

  • There are various other methods that can be used in GNSS point positioning, such as static and kinematic method

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Summary

Introduction

Global Navigation Satellite System or commonly abbreviated as GNSS is a satellite based point or moving object positioning system. Point position can be determined by either using absolute or relative point positioning. Absolute point positioning uses stand-alone receiver GNSS while relative point positioning use two receivers GNSS on the same time observation as base and rover, which can be referred as differential positioning. There are various other methods that can be used in GNSS point positioning, such as static and kinematic method. Static is such condition when the object is not moving, while kinematic is when the object is moving. The position of those condition can be determine by using either absolute or differential positioning. The point position can be determine either real time or post-processing

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