全球定位系统2025，Vol.50Issue(2)：14-21,37,9.DOI:10.12265/j.gnss.2025002
低成本GNSS多路径反射测高方法
Android smartphone-based GNSS multipath reflectometry for estimating the reflector height
摘要
Abstract
With the rapid popularization of mobile smart devices,developing applications of Global Navigation Satellite System Multipath Reflectometry(GNSS-MR)techniques using low-cost GNSS antennas has become both possible and significant.Aiming to address the high hardware requirements of the classical GNSS-MR method and the susceptibility of low-cost GNSS observations to noise interference,we propose a high-precision ground-based GNSS-MR altimetry algorithm for Android smartphones.Firstly,raw signal-to-noise ratio(SNR)data from multiple GNSS is collected using two smartphones:the iQOO Neo 3(IN3)and Xiaomi 8.After processing the data with a multi-scale wavelet decomposition algorithm,a nonlinear least squares method is employed to extract the oscillation frequency of the high-frequency coefficients via waveform fitting,retrieving the reflector heights between the land surface and the antenna phase center.Finally,the performance of the proposed method is validated by comparing the reflector heights obtained with in situ measurements and those from geodetic GNSS receivers.The results demonstrate that noise signals negatively impact altimetry using Android smartphone-based GNSS-MR.The root mean square error(RMSE)of GNSS-MR altimetry for both GPS and BDS satellites are less than 10 cm,and the stability is significantly better than that of other single-system estimations.Compared to geodetic GNSS receivers,smartphones benefit from longer SNR arcs.The proposed method provides a foundational theory for developing low-cost ground-based and low-altitude airborne GNSS-MR monitoring equipment.关键词
Android智能手机/全球导航卫星系统多路径反射(GNSS-MR)/信噪比(SNR)/小波分解/高度反演Key words
Android smartphone/GNSS-MR/signal-to-noise ratio(SNR)/wavelet decomposition/reflector height分类
天文与地球科学引用本文复制引用
周威,黄良珂,赵兴旺,李文魁..低成本GNSS多路径反射测高方法[J].全球定位系统,2025,50(2):14-21,37,9.基金项目
安徽理工大学高层次引进人才科研启动基金(2023yjrc140) （2023yjrc140）
安徽省自然科学基金(2208085MD101) （2208085MD101）
国家自然科学基金(42174051) （42174051）
