ArticleSensors (Basel, Switzerland)2021
Observation Quality Assessment and Performance of GNSS Standalone Positioning with Code Pseudoranges of Dual-Frequency Android Smartphones.
Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Random-Forest-Based Smartphone GNSS Position Correction Using Satellite-Wise LOS Projection Error Estimation and Exponential Temporal WLS.Sensors (Basel, Switzerland) · 2026Article
- Accuracy evaluation of smartphone-based GNSS position and speed tracking for ski-slope and safety management.PloS one · 2025Article
- Reliability of Real-Time Kinematic (RTK) Positioning for Low-Cost Drones' Navigation across Global Navigation Satellite System (GNSS) Critical Environments.Sensors (Basel, Switzerland) · 2024Article
- Analysis of Post-Processed Pseudorange-Based Point Positioning with Different Data Sources for the Current Galileo Constellations.Sensors (Basel, Switzerland) · 2024Article
- An Improved Ambiguity Resolution Algorithm for Smartphone RTK Positioning.Sensors (Basel, Switzerland) · 2023Article
- Stochastic Modeling of Smartphones GNSS Observations Using LS-VCE and Application to Samsung S20.Sensors (Basel, Switzerland) · 2023Article
- Precise Position Estimation Using Smartphone Raw GNSS Data Based on Two-Step Optimization.Sensors (Basel, Switzerland) · 2023Article
- GNSS Observation Generation from Smartphone Android Location API: Performance of Existing Apps, Issues and Improvement.Sensors (Basel, Switzerland) · 2023Article
- Evaluation of Static Autonomous GNSS Positioning Accuracy Using Single-, Dual-, and Tri-Frequency Smartphones in Forest Canopy Environments.Sensors (Basel, Switzerland) · 2022Article
- A novel smartphone-based activity recognition modeling method for tracked equipment in forest operations.PloS one · 2022Article
- Relative Positioning in Remote Areas Using a GNSS Dual Frequency Smartphone.Sensors (Basel, Switzerland) · 2021Article
- Smartphone Positioning and Accuracy Analysis Based on Real-Time Regional Ionospheric Correction Model.Sensors (Basel, Switzerland) · 2021Article
- GNSS smartphones positioning: advances, challenges, opportunities, and future perspectives.Satellite navigation · 2021Review
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Authors and funding
3 authors.
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Abstract
The new generation of Android smartphones is equipped with GNSS chips capable of tracking multi-frequency and multi-constellation data. In this work, we evaluate the positioning performance and analyze the quality of observations collected by three recent smartphones, namely Xiaomi Mi 8, Xiaomi Mi 9, and Huawei P30 pro that take advantage of such chips. The analysis of the GNSS observation quality implies that the commonly employed elevation-dependent function is not optimal for smartphone GNSS observation weighting and suggests an application of the C/N0-dependent one. Regarding smartphone code signals on L5 and E5a frequency bands, we found that they are characterized with noticeably lower noise as compared to E1 and L1 ones. The single point positioning results confirm an improvement in the performance when the weights are a function of the C/N0-rather than those dependent on the satellite elevation and that a smartphone positioning with E5a code observations significantly outperforms that with E1 signals. The latter is expressed by a drop of the horizontal RMS from 8.44 m to 3.17 m for Galileo E1 and E5a solutions of Xiaomi Mi 9 P30, respectively. The best positioning accuracy of multi-GNSS single-frequency (L1/E1/B1/G1) solution was obtained by Huawei P30 with a horizontal RMS of 3.24 m. Xiaomi Mi 8 and Xiaomi Mi 9 show a horizontal RMS error of 4.14 m and 4.90 m, respectively.
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