Improving GNSS Positioning in Challenging Urban Areas by Digital Twin Database Correction

TL;DR

This paper introduces a digital twin-based correction method to enhance GNSS positioning accuracy in urban environments, addressing environmental changes with low computational load suitable for small devices.

Contribution

It presents a novel digital twin-aided correction algorithm that improves outdoor GNSS positioning in urban areas without requiring specialized hardware.

Findings

Improved positioning accuracy in urban environments.

Low computational complexity suitable for small devices.

Effective correction database generated from simulated solutions.

Abstract

Accurate positioning technology is the foundation for industry and business applications. Although indoor and outdoor positioning techniques have been well studied separately, positioning performance in the intermediate period of changing the positioning environment is still challenging. This paper proposed a digital twin-aided positioning correction method for seamless positioning focusing on improving the receiver's outdoor positioning performance in urban areas, where the change of the positioning environment usually happens. The proposed algorithm will simulate the positioning solution for virtual receivers in a grid-based digital twin. Based on the simulated positioning solutions, a statistical model will be used to study the positioning characteristics and generate a correction information database for real receivers to improve their positioning performance. This algorithm has a low computation load on the receiver side and does not require a specially designed antenna, making it implementable for small-sized devices.