
Deep learning models improve GNSS positioning accuracy by regulating cost functions and estimating measurement errors.


coremsg

gnss-positioning-using-cost-function-regulated-multilateration-and-graph-neural-networks


GNSS Positioning using Cost Function Regulated Multilateration and Graph Neural Networks


title_rewrite


The author proposes a method of probabilistic positioning using ray tracing and fitting parametric probability density functions to address noisy angle of arrival measurements, offering robustness and reduced computational complexity.


Probabilistic-Positioning-with-Noisy-AoA-Measurements-via-Ray-Tracing


Probabilistic Positioning with Noisy AoA Measurements via Ray Tracing
