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Galileo: The Added Value for Integrity in Harsh Environments.

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Summary

This study enhances global navigation satellite system (GNSS) accuracy in challenging environments by combining GPS and Galileo signals with a modified Receiver Autonomous Integrity Monitoring (RAIM) algorithm, improving navigation reliability.

Keywords:

Galileo RAIM integrity multi-constellation protection levels

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Area of Science:

Navigation Systems Engineering
Satellite Technology
Signal Processing

Background:

Global Navigation Satellite System (GNSS) navigation faces challenges in signal-degraded environments due to multipath and fading.
Inaccurate or unavailable navigation solutions result from signal distortions.

Purpose of the Study:

To investigate the joint use of multiple GNSSs and quality check algorithms for improved navigation accuracy and availability.
To evaluate a modified Receiver Autonomous Integrity Monitoring (RAIM) algorithm for detecting and excluding erroneous measurements.

Main Methods:

Utilized live GPS and Galileo signals for multi-constellation navigation.
Implemented a modified RAIM algorithm with geometry and separability checks.
Analyzed the synergy between combined GPS/Galileo navigation and RAIM using live data.

Main Results:

The modified RAIM algorithm effectively detected and excluded erroneous measurements.
The multi-constellation approach provided redundant measurements for RAIM to exploit.
Performance was compared against a GPS-only solution, showing significant improvements.

Conclusions:

The developed methods are effective for GNSS-based navigation in signal-degraded environments.
The combination of multi-constellation GNSS and modified RAIM algorithms enhances navigation system accuracy and availability.