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

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Author(s)

    • 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

    The ISCIE Symposium on Stochastic Systems Theory and Its Applications

Codes

  • NII Article ID (NAID)
    130007580086
  • Text Lang
    ENG
  • ISSN
    2188-4730
  • Data Source
    J-STAGE 
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