Abstract

The integrity and accuracy of positioning are crucial factors in vehicle safety. This article proposes an enhanced real-time array calibration (ERAC) technique based on real-time array error calibration with the Beidou Navigation Satellite System (BDS). Through fixed-point positioning tests and road tests, it is found that the ERAC method is superior to the traditional methods in terms of accuracy, stability, confidence, and the time required to reconstruct reliable points. The performance of the tested receiver is better than that of a commercial receiver with standard single-point positioning (SSP) in the context of multipath interference. Furthermore, the ERAC method meets the requirements for autonomous vehicle (AV) monitoring and public safety, especially in terms of the lane-level accuracy indicator, and its integrity indicators are greater than 95% to 97%. Additionally, the ERAC method has the potential to become an alternative solution for automatic vehicle safety monitoring in certain scenarios. This technique also has the ability to meet the wide positioning requirements of various vehicles and scenarios by adjusting its technical details.

Highlights

  • The global navigation satellite system (GNSS), as a national critical infrastructure (NCI), has provided and continues to provide space-time information services to users all over the world

  • A fixed-point test is used to show that the enhanced real-time array calibration (ERAC) method has better performance in terms of accuracy, stability, confidence, and the time required to reconstruct a reliable point than the Real-time array calibration (RAC)

  • Road tests are used to show that, compared with the mainstream commercial receivers with standard single-point positioning (SSP), the prototype has the potential to be an economical solution for vehicle safety monitoring

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Summary

INTRODUCTION

The global navigation satellite system (GNSS), as a national critical infrastructure (NCI), has provided and continues to provide space-time information services to users all over the world. J. Ji et al.: Single-Frequency Real-Time Lane-Level Positioning Method for Vehicle Safety model error, satellite clock error, satellite perturbation, and phase uncertainty. RTK technology sends the carrier phase collected by the reference station to the user receiver and calculates the coordinates by correcting the phase difference The advantage of this approach is that RTK technology can provide real-time positioning services with centimeter-level accuracy. The remainder of this article is organized as follows: Section II first introduces the basic principles of RAC technology and proposes the enhanced real-time array error calibration (ERAC) model and algorithm and describes the experiment and the data employed. Because known source errors account for a larger proportion of the cumulative error, most current real-time error calibration techniques are based on the modeling of major factors (such as ionospheric and tropospheric effects) and estimate the positioning error using such a model

RAC AND ERAC
15: Step 3
Findings
CONCLUSION

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