Performance Enhancement of Land Vehicle Positioning Using Multiple GPS Receivers in an Urban Area.

Area of Science:

• Navigation Systems
• Geomatics Engineering
• Signal Processing

Background:

• Global Positioning System (GPS) is crucial for land vehicle navigation.
• Urban environments present challenges like signal blockage and multipath errors, degrading GPS accuracy.
• Existing methods struggle to provide reliable positioning in these conditions.

Purpose of the Study:

• To propose and evaluate a novel integration algorithm for multiple GPS receivers.
• To enhance the accuracy and reliability of GPS positioning for land vehicles in urban areas.
• To compare the proposed algorithm against Receiver Autonomous Integrity Monitoring (RAIM)-based integration.

Main Methods:

• A tightly coupled approach integrates pseudoranges from multiple receivers.
• Erroneous measurements are identified by assessing pseudorange consistency.
• The double-difference technique eliminates GPS errors, and geometrical distance is corrected using baseline vector projection.

Main Results:

• The proposed integration algorithm demonstrated superior positioning accuracy in urban environments.
• Live data experiments confirmed the algorithm's effectiveness.
• Performance was validated through comparison with RAIM-based integration.

Conclusions:

• The developed algorithm significantly improves GPS positioning performance for land vehicles in challenging urban settings.
• The method offers a more accurate and reliable navigation solution compared to existing approaches.
• This advancement is vital for applications requiring precise vehicle localization in cities.