Low-cost, high-precision: A new ambiguity resolution method for urban GNSS positioning

Credit: Satellite tv for pc Navigation (2024). DOI: 10.1186/s43020-024-00134-9

A cutting-edge technique for International Navigation Satellite tv for pc System (GNSS) ambiguity decision has been developed, promising to reinforce the accuracy and reliability of city positioning. This revolutionary strategy addresses the longstanding problem of acquiring exact location information in built-up environments the place indicators are sometimes obstructed.

Correct International Navigation Satellite tv for pc System (GNSS) positioning in city environments faces important challenges attributable to multipath results, sign blockages, and frequent outliers. Conventional strategies like integer least squares (ILS) and Gaussian Finest Integer Equivariant (GBIE) typically wrestle to take care of reliability beneath these situations.

Improved ambiguity decision methods are urgently wanted to handle these urban-specific points successfully. Subsequently, superior strategies for GNSS ambiguity decision are essential for enhancing positioning accuracy and reliability in city settings.

Researchers from Wuhan University have launched an improved Finest Integer Equivariant (BIE) estimation technique with Laplacian distribution, a major development within the subject of satellite tv for pc navigation. Published within the Satellite tv for pc Navigation journal on 20 May 2024, the examine presents an in depth evaluation of this new technique, which is designed to enhance city low-cost Actual-Time Kinematic (RTK) positioning.

The examine introduces an enhanced BIE estimation technique that comes with Laplacian distribution, addressing limitations of GBIE and ILS strategies. Key improvements embrace a brand new weight perform for Laplacian BIE (LBIE) and a criterion primarily based on the optimum integer aperture (OIA) take a look at to pick out candidates for BIE estimation.

Low-cost, high-precision: a new ambiguity resolution method for urban GNSS positioning
Flowchart of the improved BIE estimation technique. Credit: Satellite tv for pc Navigation

Area exams in city environments utilizing a Huawei Mate40 smartphone and a low-cost GNSS receiver STA8100 confirmed that the LBIE technique achieved positioning errors beneath 0.5 meters in three instructions throughout an city expressway take a look at, enhancing over 50% in comparison with ILS-PAR and GBIE strategies.

In an city canyon take a look at, LBIE demonstrated positioning accuracy of 0.112 meters, 0.107 meters, and 0.252 meters in east, north, and up instructions, respectively, with substantial enhancements over conventional strategies.

These findings underscore LBIE’s superior efficiency in city environments, successfully dealing with heavy-tailed error distributions widespread in such settings. The examine’s improvements promise to reinforce the reliability and accuracy of GNSS functions in difficult city situations.

Dr. Wanke Liu, lead researcher from Wuhan University, said, “The integration of Laplacian distribution into the BIE estimation represents a significant breakthrough in urban GNSS positioning. This method’s ability to handle outliers and unmodeled errors improves positioning accuracy, making it a valuable tool for various urban GNSS applications.”

The improved GNSS ambiguity decision technique enhances city navigation and positioning accuracy, impacting fields like autonomous driving, city planning, and location-based providers. This technique’s reliability in urban environments opens new potentialities for superior GNSS functions, selling smarter city administration. Future analysis will refine parameters and combine different sensors to additional enhance efficiency in dynamic city settings.

Extra info:
Ying Liu et al, An improved GNSS ambiguity finest integer equivariant estimation technique with Laplacian distribution for city low-cost RTK positioning, Satellite tv for pc Navigation (2024). DOI: 10.1186/s43020-024-00134-9

Supplied by
Aerospace Info Research Institute, Chinese language Academy of Sciences

Low-cost, high-precision: A brand new ambiguity decision technique for city GNSS positioning (2024, May 28)
retrieved 28 May 2024

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