New PPP/VPPP Algorithms by using Multiple Antennas

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  • Mouri Atsushi
    Sanda works, Mitsubishi Electric Corporation Faculty of Science and Engineering, Ritsumeikan University
  • Karatsu Yoshifumi
    Faculty of Science and Engineering, Ritsumeikan University
  • Okuda Goshi
    Faculty of Science and Engineering, Ritsumeikan University
  • Sugimoto Sueo
    Faculty of Science and Engineering, Ritsumeikan University
  • Kubo Yukihiro
    Faculty of Science and Engineering, Ritsumeikan University
  • Ohashi Masaharu
    Department of Electronic System Engineering, The University of Shiga Prefecture

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<p>In this paper, we present a novel PPP algorithm by applying the double difference for GNSS observables among multiple antennas (receivers), and apply improved VPPP algorithms. First of all, the GR models for double difference observables are shown which are similar to the GR models for the relative positioning algorithms, but both antennas’' positions are unknown. Then we derive the Kalman filtering algorithms for recursive estimation of all antennas’' positions and double difference integer ambiguity of all carrier-phases in GNSS observables. Then using the geometric constraints for all antennas’' positions, we derive the algorithms of updating the estimated parameters including antennas’' positions and integer ambiguities. Finally we show the experimental results of the proposed VPPP algorithm comparing with the previous VPPP algorithm.</p>

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