Abstract
Google Smartphone Decimeter Challenge (SDC) provides a dataset for the communities to verify their leading-edge algorithm for precise smartphone GNSS positioning under the same baseline. This year's dataset provides more variety on the vendors of smartphones' GNSS chips, where the new data from affordable smartphones is believed to be noisier, increasing the position uncertainty. This study integrates the pseudorange, time-differenced carrier phase (TDCP) measurements, and estimated velocity using factor graph optimization (FGO) to provide an optimal and robust position estimation. In the optimization process, properly excluding and weighting the measurement is the key for only using healthy measurements for state estimation. This study also uses the differentiable FGO (DFGO) to determine the covariance for the GNSS positioning adaptively. The positioning results show that the network can provide a more robust and reliable performance than the traditional model-based approach.
| Original language | English |
|---|---|
| Pages (from-to) | 2667-2675 |
| Number of pages | 9 |
| Journal | Proceedings of the International Technical Meeting of the Satellite Division of The Institute of Navigation, ION GNSS+ |
| Issue number | 2024 |
| DOIs | |
| Publication status | Published - 2024 |
| Event | 37th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS+ 2024 - Baltimore, United States Duration: 16 Sept 2024 → 20 Sept 2024 |
ASJC Scopus subject areas
- Computer Networks and Communications
- Computer Science Applications
- Information Systems
- Software
- Electrical and Electronic Engineering
- Communication