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A Method for Tracking the Time Evolution of Steady-State Evoked Potentials

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Published on: May 25, 2019

Real time NL UPD estimation method based on a sliding time window.

Siyao Wang^1,2, Ju Hong³, Rui Tu⁴

¹National Time Service Center, Chinese Academy of Sciences, Xi'an, China.

Scientific Reports

|March 3, 2025

Summary

This study introduces a real-time method for estimating narrow-lane uncalibrated phase delays (UPDs) using a sliding window in precise point positioning-ambiguity resolution (PPP-AR). This approach improves the accuracy of UPDs and enhances PPP-AR performance.

Keywords:

Precise point positioning-ambiguity resolution (PPP-AR)Sliding time window The UPD estimation method Uncalibrated phase delays (UPDs) of narrow-lane

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Area of Science:

Geodesy and Geomatics
Satellite Navigation Systems

Background:

Precise Point Positioning-Ambiguity Resolution (PPP-AR) relies on accurate estimation of wide-lane (WL) and narrow-lane (NL) uncalibrated phase delays (UPDs).
Traditional methods for NL UPD estimation use ionosphere-free ambiguities, which are treated as constants, leading to UPDs influenced by historical data and obscuring real-time variations.

Purpose of the Study:

To develop and validate a real-time NL UPD estimation method for PPP-AR using a sliding time window.
To improve the accuracy of NL UPDs and enhance the performance of PPP-AR.

Main Methods:

A novel real-time NL UPD estimation method based on a sliding time window was proposed and implemented.
The method was applied during the PPP calculation at reference stations for UPD estimation.
Rigorous experimental comparisons were conducted to evaluate the reliability of the new approach.

Main Results:

The proposed sliding window method yields NL UPDs that more accurately represent the true values at the current epoch compared to traditional methods.
Significant improvements were observed in the successful fixing rate of PPP-AR.
The average Time-To-First-Fix (TTFF) and the correct fixing rate of PPP-AR were notably enhanced.

Conclusions:

The real-time NL UPD estimation method using a sliding window effectively captures the dynamic characteristics of UPDs.
This enhanced UPD estimation significantly boosts the overall performance and reliability of PPP-AR systems.