VPPP Algorithms of Baseline Vector Estimation among Multiple Antennas

• Mouri Atsushi

  Sanda works, Mitsubishi Electric Corporation Department of Electrical and Electronic Engineering, Ritsumeikan University

• Okuda Goshi

  Department of Electrical and Electronic Engineering, Ritsumeikan University

• Sugimoto Sueo

  Department of Electrical and Electronic Engineering, Ritsumeikan University

• Kubo Yukihiro

  Department of Electrical and Electronic Engineering, Ritsumeikan University

Abstract

In this paper, we study the VPPP (Very Precise Point Positions) algorithm based on GR (GNSS Regression) models by using multiple antennas for estimating baseline vectors. The multiple antennas are disposed with solid geometrical distances which provide the constraints of the estimated parameters, but both antennas' positions are unknown. By using the baseline-vector length constraints, we show the VPPP algorithms based on the double-difference (DD) observables by each pair of two antennas, and apply the algorithm for estimating baseline vectors and GNSS Gyro. Finally we show the experimental results of the estimation algorithms for the baseline vectors and Euler angles.

Journal

• Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications

  Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications 2017 (0), 174-181, 2017

  The ISCIE Symposium on Stochastic Systems Theory and Its Applications

Keywords

• Materials Science (miscellaneous)

Details

• CRID: 1390282680741002880
• NII Article ID: 130006193000
• DOI: 10.5687/sss.2017.174
• ISSN: 21884749
• ISSN: 21884730
• Web Site: https://www.jstage.jst.go.jp/article/sss/2017/0/2017_174/_pdf
• Text Lang: en
• Data Source:
  • JaLC
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed