This paper introduces an assessment of mobile Internet of Things (IoT) devices embedded with Global Positioning Service (GPS) / Global Navigation Satellite System (GNSS) chip, envisioned to enhance po
为分析影响 GNSS 性能的关键因素，研究识别电离层闪烁因素的核心算法，分析电离层延迟测量的变化特征。对赤道附近电离层活跃地区进行GNSS信号采集，电离层闪烁数据为真实电离层闪烁信号采集数据，地点为西半球巴西低纬度地区Sao Jose dos Campos (23.2S, 45.9W)，采集时间为2013年11月，信号频率为GPS L1CA和L2C。为研究电离层闪烁对GNSS定位影响作数据支撑。
Raw data of the three Xiaomi Mi 8 GNSS observations used in the article "Accuracy of code GNSS receivers under various conditions" (DOI: 10.3390/rs14112615)
The data was acquired on July 4, 2022 (DOY 185 02:45-03:20 GPST) for about 35 minutes at the sea lake nearby the Taku Forts in Tianjin, including 30 minutes of driving on the lake (in the dynamic envi
