New PPP/VPPP Algorithms by using Multiple Antennas

• 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

Abstract

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.

Journal

• Transactions of the Institute of Systems, Control and Information Engineers

  Transactions of the Institute of Systems, Control and Information Engineers 29 (12), 525-534, 2016

  THE INSTITUTE OF SYSTEMS, CONTROL AND INFORMATION ENGINEERS (ISCIE)

Keywords

• PPP/VPPP algorithms
• multi-antennas

Details

• CRID: 1390001205168954880
• NII Article ID: 130005464357
• NII Book ID: AN1013280X
• DOI: 10.5687/iscie.29.525
• ISSN: 2185811X
• ISSN: 13425668
• NDL BIB ID: 027790460
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I027790460
• Web Site: https://www.jstage.jst.go.jp/article/iscie/29/12/29_525/_pdf
• Text Lang: en
• Data Source:
  • JaLC
  • NDL
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed