Android smartphone GNSS high-precision real-time dynamic positioning

doi:10.11947/j.AGCS.2020.20200107

Abstract

Abstract: Based on the quality and peculiarity of smartphone GNSS measurements, the existing methods of real-time dynamic PPP and RTK positioning are improved, and better smartphone GNSS positioning results obtained. Both positioning methods use a constant-acceleration dynamic single-frequency Kalman filter model with unfixed carrier phase integer ambiguity. Improvements include using smartphone carrier phase observation uncertainty for gross error processing, adopting the strategy of between-satellite single-difference to eliminate the influence of that the differences between smartphone pseudorange and carrier phase observations are not fixed, and modifying the value of smartphone measurements noise variance in the Kalman filtering process. Using one selected smartphone for experimental verification, the results show that its real-time dynamic PPP can reach a stable positioning state within 99 s, the horizontal and vertical RMS positioning error after stabilization are 1.21 and 2.79 m, respectively. RTK positioning can reach a stable state in 29 s, the horizontal and vertical RMS positioning error after stabilization are 0.73 and 0.78 m respectively. The experimental test results show that the current GNSS positioning module of smartphones could provide more accurate location services, and even has the potential for mapping operations in certain specific scenarios.

Key words: Android smartphone, GNSS, real-time dynamic positioning, PPP, RTK

CLC Number:

P228

GAO Chengfa, CHEN Bo, LIU Yongsheng. Android smartphone GNSS high-precision real-time dynamic positioning[J]. Acta Geodaetica et Cartographica Sinica, 2021, 50(1): 18-26.

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