GNSS Integer Ambiguity Resolution Methods Applied by Kalman Filter — The Review and Comparison

• Abe Koji

  Department of Electrical and Electronic Engineering, Ritsumeikan University

• Arakawa Yuma

  Department of Electrical and Electronic Engineering, Ritsumeikan University

• Kubo Yukihiro

  Department of Electrical and Electronic Engineering, Ritsumeikan University

• Sugimoto Sueo

  Department of Electrical and Electronic Engineering, Ritsumeikan University

Abstract

In this paper, we investigate several methods to resolve integer ambiguities in Global Navigation Satellite Systems (GNSS) carrier phase positioning applied by Kalman filter. Especially, we focus on integration methods of Least squares AMBiguity Decorrelation Adjustment (LAMBDA) [1, 2] method and Kalman filter. They are compared from theoretical and experimental points of view, and their characteristics and performance are investigated. We conduct experiments using real receiver data, and evaluate the integer ambiguity resolution performance. Based on the results, we show a guideline to resolve ambiguities with Kalman filter.

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 2018 (0), 131-136, 2018-06-15

  The ISCIE Symposium on Stochastic Systems Theory and Its Applications

Keywords

• Materials Science (miscellaneous)

Details

• CRID: 1390001288108060672
• NII Article ID: 130007580086
• DOI: 10.5687/sss.2018.131
• ISSN: 21884749
• ISSN: 21884730
• Web Site: https://www.jstage.jst.go.jp/article/sss/2018/0/2018_131/_pdf
• Text Lang: en
• Data Source:
  • JaLC
  • Crossref
  • CiNii Articles
• Abstract License Flag: Disallowed