Enhancing GNSS robustness in automotive applications with Supercorrelation: experimental results in urban and under-foliage scenarios

Multipath interference significantly degrades GNSS positioning in automotive applications, posing challenges for the safety and reliability of autonomous driving and ADAS systems. Employing a patented supercorrelation algorithm, the S-GNSS receiver [1], developed by Focal Point Positioning under an ESA NAVISP project, offers a unique solution to multipath interference in challenging automotive environments by filtering incoming signals by angle of arrival in software processing alone. This ensures only multipath-free line-of-sight signals are processed in the navigation solution.

In this work, we will present initial experimental results in urban and under foliage scenarios with an S-GNSS receiver, areas where traditional processing struggles to provide high accuracies.

Preliminary analysis reveals significant improvements in GNSS robustness and accuracy, hinting at the full potential of supercorrelation technology in a final ADAS solution. Ongoing investigations will quantify these gains under different conditions, with the full results to be presented at the conference. These findings pave the way for reliable GNSS navigation in the toughest automotive environments, ultimately propelling the safe and efficient deployment of autonomous vehicles.

[1] Garcia, J.G.; van der Merwe, J.R.; Esteves, P.; Jamal, D.; Benmendil, S.; Higgins, C.; Grey, R.; Coetzee, E.; Faragher, R. Development of a Custom GNSS Software Receiver Supporting Supercorrelation. Eng. Proc. 2023, 54, 9. https://doi.org/10.3390/ENC2023-15423