Answers are grounded in this paper and cite their sources.
Multipath and non-line-of-sight (NLOS) signals are the major causes of poor accuracy of a global navigation satellite system (GNSS) in urban areas. Despite the wide usage of the GNSS in populated urban areas, it is difficult to suggest a generalized method because multipath errors are user-specific and cannot be eliminated by the differential GNSS (DGNSS) or a real-time kinematic technique (RTK). This paper introduces a real-time multipath estimation and mitigation technique which considers compensation for the time offset between constellations. It also presents a mode-switching algorithm between the DGNSS and multipath mitigating mode and shows that this technique can be effectively utilized for automobiles in a deep urban environment without any help from sensors other than GNSS. The availability is improved from 64% to 100% and the error RMS is reduced from 11.1 m to 1.2 m on Teheran-ro, Seoul, Korea. Because this method does not require prior information or additional sensor implementation for high-positioning performance in deep urban areas, it is expected to gain wide usage in not only the automotive industry but also future intelligent transportation systems.
No takes yet. Share an insight, caveat, or question.
Lee et al. (2023) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: