Performance tests of geodetic receivers with tilt sensors in obstructed environments using the NRTK GNSS technique

Author:

Dumrongchai Puttipol1,Patsadutarn Jittranud23,Satirapod Chalermchon3

Affiliation:

1. Department of Civil Engineering , Chiang Mai University , Chiang Mai , 50200 , Thailand

2. Department of Lands , Bureau of Mapping Technology , Nonthaburi , 11120 , Thailand

3. Department of Survey Engineering , Chulalongkorn University , Bangkok , 10330 , Thailand

Abstract

Abstract The Department of Lands (DOL), Thailand, has adopted the Network-based Real-Time Kinematic (NRTK) Global Navigation Satellite System (GNSS) surveying technique using a Virtual Reference Station (VRS) to support cadastral surveys since 2011. Determining accurate coordinates of parcel boundary markers at building corners or near fences and walls is difficult because a GNSS range pole cannot be leveled with a circular bubble. This study aims to evaluate the performance of the receivers equipped with tilt sensors for horizontal and vertical positioning. Two types of tilt sensors used for evaluation were a magnetometer and micro-electro-mechanical system (MEMS) and an inertial measurement unit (IMU). Conducting the NRTK GNSS surveying tests was based on the pole tilt angles of 0°, 15°, 25°, 35°, and 45° from a plumb line in controlled and obstructed environments. The IMU-based tilt sensor had more advantage of accurately positioning over the MEMS sensor. The results showed that using the IMU, better than 4 cm horizontal positioning accuracy was achievable when the pole was tilted by 15° or less under non-multipath and open-sky conditions. The vertical accuracy was of a few centimeter levels and least sensitive to tilt angles using either type of sensor. However, none of the sensors precisely compensated for pole tilt in strong-multipath and complex environments, causing increased horizontal errors in decimeter levels.

Publisher

Walter de Gruyter GmbH

Subject

Earth and Planetary Sciences (miscellaneous),Engineering (miscellaneous),Modeling and Simulation

Reference24 articles.

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4. Dumrongchai, P, Srimanee, C, Duangdee, N, Bairaksa, J. The determination of Thailand Geoid Model 2017 (TGM2017) from airborne and terrestrial gravimetry. Terr Atmos Ocean Sci 2021;32:857–72. https://doi.org/10.3319/TAO.2021.08.23.01.

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