Review of Off-loading Processing Strategies for GNSS Positioning : Theoretical Review and Visual Analysis Implementation

Abstract

Snapshot positioning, innovative for rapid location estimation using signal fragments, emerges as a promising technology for its energy efficiency and cost-effectiveness. This method can achieve up to 97% reliability with only 12ms snapshots from real-world scenarios, utilizing more affordable and power-saving hardware and simpler algorithms than any existing solutions [1]. This thesis investigates six off-loading positioning algorithms for snapshot data, utilizing an open-source library to explore algorithm intricacies and enhance performance evaluation through visualization. The methodology includes a thorough study of theoretical foundations of these algorithms, review of their open source implementations, development of visual performance evaluation tools, and a comprehensive results analysis. Despite discovering a library with detailed technical backgrounds and consequently creating a Jupyter script for extensive analysis, challenges emerged from the attempt to apply custom data analysis due to complexity and insufficient instructions from the library. The thesis work underscores the need to improve the modularity and usability of these implementations, broadening the study and application of snapshot positioning algorithms.