Modified RTK-GNSS for Challenging Environments

Author:

Fredeluces Ellarizza1,Ozeki Tomohiro1,Kubo Nobuaki1ORCID,El-Mowafy Ahmed2ORCID

Affiliation:

1. Department of Marine Systems Engineering, Tokyo University of Marine Science and Technology, Tokyo 135-8533, Japan

2. School of Earth and Planetary Sciences, Curtin University, Perth 6102, Australia

Abstract

Real-Time Kinematic Global Navigation Satellite System (RTK-GNSS) is currently the premier technique for achieving centimeter-level accuracy quickly and easily. However, the robustness of RTK-GNSS diminishes in challenging environments due to severe multipath effects and a limited number of available GNSS signals. This is a pressing issue, especially for GNSS users in the navigation industry. This paper proposes and evaluates several methodologies designed to overcome these issues by enhancing the availability and reliability of RTK-GNSS solutions in urban environments. Our novel approach involves the integration of conventional methods with a new technique that leverages surplus satellites—those not initially used for positioning—to more reliably detect incorrect fix solutions. We conducted three tests in densely built-up areas within the Tokyo region. The results demonstrate that our approach not only surpasses the fix rate of the latest commercial receivers and a popular open-source RTK-GNSS program but also improves positional reliability to levels comparable to or exceeding those of the aforementioned commercial technology.

Publisher

MDPI AG

Reference31 articles.

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2. Walsh, D. (1992, January 16–18). Real-Time Ambiguity Resolution While on the Move. Proceedings of the ION Satellite Division’s 5th International Meeting, Albuquerque, NM, USA.

3. (2024, February 08). ESA Navipedia. Available online: https://gssc.esa.int/navipedia/.

4. Takasu, T., and Yasuda, A. (2009, January 4). Development of the low-cost RTK-GPS receiver with an open source program package RTKLIB. Development, Evaluation, and Application of RTKLIB: A Program Library for RTK-GPS. Proceedings of the International Symposium on GPS/GNSS, International Conventional Center, Jeju, Republic of Korea.

5. Wen, W., and Hsu, L.T. (June, January 30). Towards Robust GNSS Positioning and Real-time Kinematic Using Factor Graph Optimization. Proceedings of the 2021 IEEE International Conference on Robotics and Automation (ICRA), Xi’an, China.

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