Abstract
The rapidly increasing demand for high-precision positioning has prompted researchers to develop real-time kinematic (RTK) techniques. In urban areas, however, global navigation satellite system (GNSS) signals are susceptible to obstruction, reflection, and diffraction by dense foliage and buildings, leading to a reduction in the number of tracked satellites and a degradation of GNSS raw measurements due to nonline-of-sight (NLOS) signals and multipath errors. This, in turn, increases the difficulty of accurately resolving integer ambiguities. To address this issue, this article proposes a combined strategy to exclude satellites contaminated by NLOS or multipath. Based on the combined strategy, two single-epoch ambiguity resolution methods, proposed method 1 (PM1) and proposed method 2 (PM2), are introduced. Three kinematic field tests conducted in different typical urban environments are used to validate the effectiveness of the proposed strategy. The correctly fixed means a less than 0.1 m 3-D positional error. The results indicate that, with a mask angle of 10°, the correctly fixed rates of PM1 and PM2 are 96.0% and 97.0% in scenario 1, 63.9% and 64.4% in scenario 2, and 55.9% and 62.7% in scenario 3, respectively. These rates are higher than those of comparative method 1 (CM1) and comparative method 2 (CM2), which are 79.6% and 85.7%, 32.9% and 45.0%, and 29.9% and 45.0% in scenarios 1, 2, and 3, respectively. When the mask angle increases to 20°, the correctly fixed rates of PM1 and PM2 are 96.8% and 97.6% in scenario 1, 63.9% and 64.5% in scenario 2, and 56.8% and 63.9% in scenario 3, respectively. Compared to CM1 and CM2, this represents an improvement of between 7.8 and 27.4% points.
Original language | English |
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Pages (from-to) | 4523-4534 |
Number of pages | 12 |
Journal | IEEE Internet of Things Journal |
Volume | 11 |
Issue number | 3 |
DOIs | |
Publication status | Published - 1 Feb 2024 |
Keywords
- Global navigation satellite system (GNSS)
- real-time kinematic (RTK)
- urban areas
ASJC Scopus subject areas
- Signal Processing
- Information Systems
- Hardware and Architecture
- Computer Science Applications
- Computer Networks and Communications