Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications
Online ISSN : 2188-4749
Print ISSN : 2188-4730
The 55th International Symposium on Stochastic Systems Theory and Its Applications (Nov. 2023, ADACHI, TOKYO)
High Accuracy Successive Moving Baseline Estimation Method for a Slow Speed Robot based on GNSS Positioning —Further Results
Hiroki HayashiFumihito UmemuraYoshiharu KoyaYukihiro Kubo
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2024 Volume 2024 Pages 53-59

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Abstract

The Global Navigation Satellite System (GNSS) is currently used in a variety of applications, and its positioning accuracy requirements become more and more demanding. We focus on robot which repeatedly moves and stops at low speed, and we aim to estimate its successive moving baseline vectors accurately by using GNSS. In our previous works [1,2], we proposed a method to estimate accurate successive moving baseline vectors based on the difference of the single GNSS receiver observables obtained at two successive observation times (epochs). Also, we proposed a method to estimate the bias error contained in the solution of the moving baseline vector. In this paper, based on [1,2], the methods to provide the initial value of the baseline vector calculation are modified and improved. And further experiments applied by the new proposed method and additional GNSS such as Quasi-Zenith Satellite System (QZSS) have been conducted. From the results, we can see that the proposed method can estimate the moving baseline vector within 1 [cm] accuracy.

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© 2024 ISCIE Symposium on Stochastic Systems Theory and Its Applications
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