| KEYWORD |
Area Engineering
Miglioramento e Valutazione delle Prestazioni di un Toolbox di elaborazione di dati GNSS per attività di Ricerca Scientifica e Analisi Forense dei Dati in dispositivi portatili intelligenti
keywords DATA ANALYSIS, GNSS, SMART DEVICES, SMARTPHONES
Reference persons ALEX MINETTO, ANDREA NARDIN
Research Groups Navigation Signal Analysis and Simulation group (NavSAS)
Thesis type EXPERIMENTAL APPLIED, IMPLEMENTATION, RESEARCH / EXPERIMENTAL
Description Introduction
With the increasing use of mobile smart devices for positioning, navigation, and timing (PNT) applications, it is essential to develop robust algorithms that can enhance the accuracy and reliability of Global Navigation Satellite System (GNSS) data processing. The Google GNSS Measurement Toolbox serves as a powerful tool for accessing and post-processing raw GNSS measurements from Android devices, enabling research, development, and innovation in GNSS-based positioning. This thesis aims to contribute to this toolbox by consolidating and asssessing a dedicated branch that embeds advanced positioning algorithms, making it a valuable resource for academic research, academic training and forensic data analysis in mobile devices.
Objectives
The main objective of this thesis is to expand the Google GNSS Measurement Toolbox by incorporating advanced GNSS-based positioning and navigation algorithms to facilitate forensic data analysis and research activities on mobile smart devices. Specifically, the goals of this work include:
- Revising and assessing and integrating advanced GNSS positioning algorithms, such as Weighted Least Squares (WLS), Kalman filtering, and GNSS/INS (Inertial Navigation System) integration. Evaluating the performance of these algorithms using real-world GNSS data collected from smartphones.
Implementing improvements to navigation algorithms, including:
- Utilization of multiple GNSS constellations and multi-frequency signals data to improve Position, Velocity, and Time (PVT) solutions.
- Application of ionospheric and tropospheric corrections to pseudorange and pseudorange rate measurements.
- Developing spoofing and jamming detection mechanisms based on low-latency observations of GNSS observables.
- Collaborating with Google’s navigation unit and contributing new functionalities to their GitHub repository.
State-of-the-Art Analysis
A comprehensive literature review will be conducted to understand existing GNSS-based positioning algorithms, including WLS, Kalman filtering, and GNSS/INS integration. This study will also review recent developments in GNSS spoofing and jamming detection techniques in mobile devices.
Data Collection
The navigation data will be collected from smartphones equipped with GNSS capabilities, while the satellite parameters (such as ephemeris and corrections) will be gathered from dedicated web services. This data will be used to test, validate and assesses the proposed functionalities.
See also https://github.com/google/gps-measurement-tools
Required skills - Fundamentals on Global Navigation Satellite Systems
- Versioning and collaborative development (GitHub)
- MATLAB programming
Deadline 01/10/2025
PROPONI LA TUA CANDIDATURA