Tomaštík Julián, Hernández Olcina Jorge, Saloň Šimon, Tunák Daniel
Department of Forest Resources Planning and Informatics, Faculty of Forestry, Technical University in Zvolen, T.G. Masaryka 24, 96001 Zvolen, Slovakia.
Department of Cartographic Engineering, Geodesy and Photogrammetry, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain.
Sensors (Basel). 2025 Jul 17;25(14):4452. doi: 10.3390/s25144452.
Smartphone GNSS technology has advanced significantly, but its performance varies considerably among Android devices due to differences in hardware and software. This study compares the GNSS capabilities of the Google Pixel 5 and Pixel 9 Pro XL (Google LLC, Mountain View, CA, USA) using five-hour static measurements under three environmental conditions: open area, canopy, and indoor. Complete raw GNSS data and the tools used for positioning are freely available. The analysis focuses on signal quality and positioning accuracy, derived using raw GNSS measurements. Results show that the Pixel 9 Pro XL provides better signal completeness, a higher carrier-to-noise density (C/N0), and improved L5 frequency reception. However, this enhanced signal quality does not always translate to superior positioning accuracy. In single-point positioning (SPP), the Pixel 5 outperformed the Pixel 9 Pro XL in open conditions when considering mean positional errors, while the Pixel 9 Pro XL performed better under canopy conditions. The precise point positioning results are modest compared to the current state of the art, only achieving accuracies of a few meters. The static method achieved sub-decimeter accuracy for both devices in optimal conditions, with Pixel 9 Pro XL demonstrating a higher fix rate. Findings highlight ongoing challenges in smartphone GNSS, particularly related to the limited quality of signals received by smartphone GNSS receivers. While newer devices show improved signal reception, precise positioning remains limited. Future research should explore software enhancements and the use of various external correction sources to optimize GNSS accuracy for mobile users. Generally, a shift from research to user-ready applications is needed.
智能手机全球导航卫星系统(GNSS)技术已经取得了显著进步,但由于硬件和软件的差异,其在安卓设备中的性能差异很大。本研究在三种环境条件下(开阔区域、树冠下和室内)对谷歌Pixel 5和Pixel 9 Pro XL(谷歌有限责任公司,美国加利福尼亚州山景城)进行了五小时的静态测量,比较了它们的GNSS能力。完整的原始GNSS数据和用于定位的工具可免费获取。分析重点关注使用原始GNSS测量得出的信号质量和定位精度。结果表明,Pixel 9 Pro XL具有更好的信号完整性、更高的载噪比(C/N0)以及改进的L5频率接收。然而,这种增强的信号质量并不总是能转化为更高的定位精度。在单点定位(SPP)中,考虑平均位置误差时,Pixel 5在开阔条件下的表现优于Pixel 9 Pro XL,而Pixel 9 Pro XL在树冠下条件下表现更好。与当前的技术水平相比,精密单点定位结果并不理想,仅达到了几米的精度。在最佳条件下,静态方法使两款设备都实现了亚分米级的精度,Pixel 9 Pro XL显示出更高的固定率。研究结果凸显了智能手机GNSS面临的持续挑战,特别是与智能手机GNSS接收器接收到的信号质量有限有关。虽然较新的设备显示出更好的信号接收能力,但精确定位仍然有限。未来的研究应探索软件增强功能以及使用各种外部校正源,以优化移动用户的GNSS精度。总体而言,需要从研究转向用户可用的应用程序。