Preliminary inquiry on the linear relationship between the height of the station and the ground height error retrieved by GNSS-IR with low-cost smart electronic equipment

被引:1
作者
Zheng, Naiquan [1 ]
Chai, Hongzhou [1 ]
机构
[1] PLA Informat Engn Univ, Inst Geospatial Informat, Zhengzhou 450001, Peoples R China
基金
中国国家自然科学基金;
关键词
low-cost smart electronic devices; GNSS-IR; retrieval height; station height; error; SEA-ICE DETECTION; SNOW DEPTH; MULTI-GNSS; GPS; REFLECTOMETRY; LEVEL; AREAS;
D O I
10.1088/1361-6501/acf2b6
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Global Navigation Satellite System Interferometric Reflectometry (GNSS-IR) ground height retrieval technology is based on global navigation satellite system (GNSS) signal reflection, which can achieve efficient and high-precision ground retrieval. However, errors cannot be avoided. And whether there is a linear relationship between the height of the station and the error is unknown. This research uses Hi-Target geodetic GNSS receivers, smart phone devices (Honor 60) and smart tablet devices (Huawei MatePad Pro) to collect a total of 5 d data from DOY65 to DOY69 in 2023, with the station heights of 0.8 m, 1.0 m, 1.2 m, 1.4 m and 1.6 m, respectively. The experimental results show that each satellite can effectively establish a linear relationship between the inversion error and the station height, which can be used in the error compensation research of different station heights under the limitation that the height of reflector is between 0.8 m and 1.6 m. Simultaneously, the error is related to the influence of comprehensive factors such as reflector type, satellite number, and data-receiving equipment. Secondly, two clustering methods, k-means and k-media, are introduced to cluster a and b in the linear relationship y = ax + b of each satellite, and it is proved that the linear relationship between inversion error and station height is obviously related to ground reflection surface (plastic track and concrete ground). Finally, it is verified that the height measurement accuracy of low-cost smart electronic equipment (Root Mean Square Error (RMSE): 0.047 m and 0.042 m) is worse than that of GNSS (RMSE: 0.010 m), but it still has good measurement performance. All in all, this study provides an essential technical reference for the error compensation of different station heights and for the application of GNSS-IR with low-cost smart electronic equipment. Due to its low-cost advantage, it has great potential in developing other surface parameter inversion of GNSS-IR technology.
引用
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页数:15
相关论文
共 30 条
  • [1] Feasibility of retrieving effective reflector height using GNSS-IR from a single-frequency android smartphone SNR data
    Altuntas, Cemali
    Tunalioglu, Nursu
    [J]. DIGITAL SIGNAL PROCESSING, 2021, 112
  • [2] Snow depth sensing using the GPS L2C signal with a dipole antenna
    Chen, Qiang
    Won, Daehee
    Akos, Dennis M.
    [J]. EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING, 2014, : 1 - 10
  • [3] Effects of Near-Surface Soil Moisture on GPS SNR Data: Development of a Retrieval Algorithm for Soil Moisture
    Chew, Clara C.
    Small, Eric E.
    Larson, Kristine M.
    Zavorotny, Valery U.
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2014, 52 (01): : 537 - 543
  • [4] Ground surface elevation changes over permafrost areas revealed by multiple GNSS interferometric reflectometry
    Hu, Yufeng
    Wang, Ji
    Li, Zhenhong
    Peng, Jianbing
    [J]. JOURNAL OF GEODESY, 2022, 96 (08)
  • [5] Snow Depth Variations Estimated from GPS-Reflectometry: A Case Study in Alaska from L2P SNR Data
    Jin, Shuanggen
    Qian, Xiaodong
    Kutoglu, Hakan
    [J]. REMOTE SENSING, 2016, 8 (01)
  • [6] Remote sensing using GNSS signals: Current status and future directions
    Jin, Shuanggen
    Feng, G. P.
    Gleason, S.
    [J]. ADVANCES IN SPACE RESEARCH, 2011, 47 (10) : 1645 - 1653
  • [7] Coastal sea level measurements using a single geodetic GPS receiver
    Larson, Kristine M.
    Lofgren, Johan S.
    Haas, Rudiger
    [J]. ADVANCES IN SPACE RESEARCH, 2013, 51 (08) : 1301 - 1310
  • [8] Can we measure snow depth with GPS receivers?
    Larson, Kristine M.
    Gutmann, Ethan D.
    Zavorotny, Valery U.
    Braun, John J.
    Williams, Mark W.
    Nievinski, Felipe G.
    [J]. GEOPHYSICAL RESEARCH LETTERS, 2009, 36
  • [9] Measuring Soil Moisture With Refracted GPS Signals
    Li, Yunwei
    Yu, Kegen
    Li, Jiancheng
    Jin, Taoyong
    Chang, Xin
    Zhang, Qiang
    Yang, Shiqi
    [J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2022, 19
  • [10] Li YW, 2021, GPS SOLUT, V25, DOI 10.1007/s10291-021-01172-5