Smart Device-Supported BDS/GNSS Real-Time kinematic positioning for Sub-Meter-Level accuracy in urban Location-Based services

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Abstract

Using mobile smart devices to provide urban location-based services (LBS) with sub-meter-level accuracy (around 0.5 m) is a major application field for future global navigation satellite system (GNSS) development. Real-time kinematic (RTK) positioning, which is a widely used GNSS-based positioning approach, can improve the accuracy from about 10-20 m (achieved by the standard positioning services) to about 3-5 cm based on the geodetic receivers. In using the smart devices to achieve positioning with sub-meter-level accuracy, a feasible solution of combining the low-cost GNSS module and the smart device is proposed in this work and a user-side GNSS RTK positioning software was developed from scratch based on the Android platform. Its real-time positioning performance was validated by BeiDou Navigation Satellite System/Global Positioning System (BDS/GPS) combined RTK positioning under the conditions of a static and kinematic (the velocity of the rover was 50-80 km/h) mode in a real urban environment with a SAMSUNG Galaxy A7 smartphone. The results show that the fixed-rates of ambiguity resolution (the proportion of epochs of ambiguities fixed) for BDS/GPS combined RTK in the static and kinematic tests were about 97% and 90%, respectively, and the average positioning accuracies (RMS) were better than 0.15 m (horizontal) and 0.25 m (vertical) for the static test, and 0.30 m (horizontal) and 0.45 m (vertical) for the kinematic test.

Figures

  • Figure 1. Framework of an RTK service system based on smart devices.
  • Figure 2. The statistical results of the length of the latency time of the corrections.
  • Table 1. The performances of RTK positioning with different latency times of the differential corrections.
  • Figure 3. Operation interfaces of user-side positioning software: (a) the interface for displaying the user’s position on a map; (b) the interface for setting the positioning parameters; and (c) the interface for the current sky plot of visible satellites.
  • Figure 4. The experimental setup.
  • Figure 5. User sites in the static tests.
  • Figure 5. User sites in the static tests.
  • Figure 9. Positioning errors of experiment S1 (top), S2 (middle), and S3 (bottom) in the static test.

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CITATION STYLE

APA

Wang, L., Li, Z., Zhao, J., Zhou, K., Wang, Z., & Yuan, H. (2016). Smart Device-Supported BDS/GNSS Real-Time kinematic positioning for Sub-Meter-Level accuracy in urban Location-Based services. Sensors (Switzerland), 16(12). https://doi.org/10.3390/s16122201

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