Quality assessment of GNSS observations from an Android N smartphone and positioning performance analysis using time-differenced filtering approach

被引:179
作者
Zhang, Xiaohong [1 ,2 ]
Tao, Xianlu [1 ]
Zhu, Feng [1 ]
Shi, Xiang [1 ]
Wang, Fuhong [1 ]
机构
[1] Wuhan Univ, Sch Geodesy & Geomat, 129 Luoyu Rd, Wuhan 430079, Hubei, Peoples R China
[2] Collaborat Innovat Ctr Geospatial Technol, 129 Luoyu Rd, Wuhan 430079, Hubei, Peoples R China
基金
中国国家自然科学基金;
关键词
GNSS observations; Android smartphone; Quality assessment; Carrier-to-noise density ratio; Doppler; Static and kinematic positioning; NAVIGATION;
D O I
10.1007/s10291-018-0736-8
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
The development of low-cost GNSS chips inspired the development of advanced positioning, navigation and timing devices. In 'I/O of 2016', Google announced that GNSS observations from devices running the Android version 7 operating system would be available to developers. Providing GNSS application developers the opportunity to develop advanced processing algorithms for accurate position estimation using pseudorange, Doppler and carrier phase observations. The quality of GNSS observations from Android smartphones and their accuracy in estimating position is assessed. The observed carrier-to-noise density ratio (C/N0), pseudorange noise, pseudorange rate error and phase rate error of GNSS observations are evaluated. The results demonstrate that the average (C/N0) value is approximately 10 dB-Hz lower than the representative values obtained from a geodetic-quality antenna and receiver. The station single-difference pseudorange residuals on all available signals vary from - 20 to 20 m, and the value of pseudorange rate varies within +/- 10 m/s. In addition, the phase rate and Doppler reaches approximately +/- 0.2 m/s. Different from the geodetic receivers, the signal noise ratio (SNR) obtained from smartphone varies more significantly, regardless of elevation angle. Therefore, the SNR-dependent weighting method is preferred during data processing. Furthermore, the results of the static data analysis show that the horizontal and vertical RMS position errors are less than 0.8 and 1.4 m, respectively, when Doppler and phase observations are incorporated into the positioning solution.
引用
收藏
页数:11
相关论文
共 20 条
[1]   Assessing receiver noise using GPS short baseline time series [J].
Amiri-Simkooei, A. R. ;
Tiberius, C. C. J. M. .
GPS SOLUTIONS, 2007, 11 (01) :21-35
[2]  
Asari K, 2017, I NAVIG SAT DIV INT, P130
[3]  
Chen RZ, 2014, I NAVIG SAT DIV INT, P490
[4]   Time-differenced carrier phases technique for precise GNSS velocity estimation [J].
Freda, Pierluigi ;
Angrisano, Antonio ;
Gaglione, Salvatore ;
Troisi, Salvatore .
GPS SOLUTIONS, 2015, 19 (02) :335-341
[5]   Characterization of Compass M-1 signals [J].
Hauschild, Andre ;
Montenbruck, Oliver ;
Sleewaegen, Jean-Marie ;
Huisman, Lennard ;
Teunissen, Peter J. G. .
GPS SOLUTIONS, 2012, 16 (01) :117-126
[6]  
Humphreys TE, 2016, IEEE POSITION LOCAT, P232, DOI 10.1109/PLANS.2016.7479707
[7]   Development of an RTK-GPS Positioning Application with an Improved Position Error Model for Smartphones [J].
Hwang, Jinsang ;
Yun, Hongsik ;
Suh, Yongcheol ;
Cho, Jeongho ;
Lee, Dongha .
SENSORS, 2012, 12 (10) :12988-13001
[8]   User-level reliability monitoring in urban personal satellite-navigation [J].
Kuusniemi, Heidi ;
Wieser, Andreas ;
Lachapelle, Gerard ;
Takala, Jarmo .
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2007, 43 (04) :1305-1318
[9]  
Laurichesse D., 2017, PROC ION GNSS 2017, P171
[10]   DGPS Enhancement to GPS NMEA Output Data: DGPS by Correction Projection to Position-Domain [J].
Park, Byungwoon ;
Lee, Jeongkeun ;
Kim, Younsil ;
Yun, Ho ;
Kee, Changdon .
JOURNAL OF NAVIGATION, 2013, 66 (02) :249-264