Smartphone velocity estimation with raw GNSS data

Junzhen Sun; Lizhi Lou

doi:10.1117/12.3041282

11 September 2024 Smartphone velocity estimation with raw GNSS data

Junzhen Sun, Lizhi Lou

Proceedings Volume 13253, Fourth International Conference on Signal Image Processing and Communication (ICSIPC 2024); 132531H (2024) https://doi.org/10.1117/12.3041282
Event: 4th International Conference on Signal Image Processing and Communication, 2024, Xi'an, China

Abstract

Traditionally, GNSS receivers in smartphones are primarily used for position localization. However, with the release of Android 7.0 by Google, smartphones now support the provision of raw GNSS data, which can be utilized for velocity estimation. To explore the feasibility and performance of GNSS velocity estimation on smartphones, this study employs raw GNSS data from smartphones and conducts velocity estimation based on both the TDCP (Time-Differenced Carrier Phase) method and the Doppler method. The results demonstrate that velocity estimation on smartphones is feasible, with the TDCP-based method achieving higher accuracy.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Junzhen Sun and Lizhi Lou "Smartphone velocity estimation with raw GNSS data", Proc. SPIE 13253, Fourth International Conference on Signal Image Processing and Communication (ICSIPC 2024), 132531H (11 September 2024); https://doi.org/10.1117/12.3041282

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