Mitigation of multiple outliers using consistency checking for GNSS standard point positioning in urban areas

Wen, Yaxin; Dai, Wujiao; Yu, Wenkun; Pan, Lin

doi:10.1016/j.asr.2023.11.023

Advances in Space Research

2024

DOI: 10.1016/j.asr.2023.11.023

|View full text |Cite

Mitigation of multiple outliers using consistency checking for GNSS standard point positioning in urban areas

Yaxin Wen,

Wujiao Dai,

Wenkun Yu

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article3

Relationship

Self Cite1

Independent2

Authors

Journals

Cited by 3 publications

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Novel robust GNSS velocity estimation with a residual-based multithreshold constraint algorithm

Liu,

Li,

Ning

et al. 2024

GPS Solut

View full text Add to dashboard Cite

Novel robust GNSS velocity estimation with a residual-based multithreshold constraint algorithm

Liu,

Li,

Ning

et al. 2024

GPS Solut

View full text Add to dashboard Cite

An enhanced RANSAC-RTK algorithm in GNSS-challenged environments

Wen,

Dai,

et al. 2024

Journal of Spatial Science

Self Cite

View full text Add to dashboard Cite

Outliers significantly affect the accuracy and reliability of global navigation satellite system (GNSS). The outliers must be properly handled in real-time kinematic (RTK) positioning, particularly in GNSS-challenged environments. Otherwise, the accuracy and reliability of RTK positioning solutions cannot be guaranteed in these environments. To improve the usability of RTK positioning in GNSS-challenged environments, we propose an enhanced RANdom SAmple Consensus RTK (RANSAC-RTK) algorithm to handle multiple and continuous outliers. In the enhanced RANSAC algorithm, the threshold setting, sample prescreening and sample checking methods are improved considering the characteristics of GNSS data. Experiments are conducted using GNSS data collected in a GNSS-challenged environment with simulated continuous outliers for multiple satellites. The experimental results show that the standard RTK algorithm is vulnerable to outliers. In contrast, the enhanced RANSAC-RTK algorithm can effectively deal with multiple and continuous outliers, and the ambiguity fixing rate is increased by 33%. Therefore, it can significantly improve RTK performance in GNSS-challenged environments.

show abstract

RANSAC-Based Fault Detection and Exclusion Algorithm for Single-Difference Tightly Coupled GNSS/INS Integration

Zhang,

Lin,

Ding

et al. 2024

IEEE Trans. Intell. Veh.

View full text Add to dashboard Cite

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Mitigation of multiple outliers using consistency checking for GNSS standard point positioning in urban areas

Cited by 3 publications

References 18 publications

Novel robust GNSS velocity estimation with a residual-based multithreshold constraint algorithm

Novel robust GNSS velocity estimation with a residual-based multithreshold constraint algorithm

An enhanced RANSAC-RTK algorithm in GNSS-challenged environments

RANSAC-Based Fault Detection and Exclusion Algorithm for Single-Difference Tightly Coupled GNSS/INS Integration

Contact Info

Product

Resources

About