On Optimizing Acquisition Functions for Improved Positioning Accuracy in SyDR

Abstract

This work-in-progress paper presents advancements in the acquisition function for processing GNSS signal snapshots, integrated within the System for Dynamic Repositioning (SyDR) framework. The primary objective of this research is to improve the accuracy and efficiency of GNSS signal processing, which is critical for applications such as navigation and positioning. The study addresses the challenges posed by complex wireless environments and the imperative need for energy-efficient solutions in embedded devices. Significant modifications were implemented in the existing positioning function, notably the removal of a Bayes classifier and the simplification of the acquisition function. The performance evaluation demonstrated substantial improvements in positioning accuracy, evidenced by a reduction in median errors and an increase of at least 5% in the percentage of errors below 200 meters for the test data. Despite these advancements, certain challenges persist, particularly concerning processing speed and performance issues encountered when integrating satellites from multiple GNSS systems. This paper contributes to the ongoing discourse on GNSS signal processing, offering insights into the optimization of acquisition functions, and highlighting areas for future research to address the remaining challenges.