THE MULTIPATH ERRORS CORRECTION IN THE TESTIMONY OF SATELLITE NAVIGATION SYSTEMS BASED ON THEIR SIGNALS WAVELET TRANSFORMS

K. V. Kozadaev, E. I. Kozlova, I. A. Mitrakhovich, K. I. Kireyeva

Abstract


Context. This research aims to improve the satellite navigation systems accuracy due to the correction of satellite signals multipath
propagation errors. The multipath effect errors reducing problem on the navigation solutions accuracy is one of the most pressing problems
in modern satellite navigation, because the error introduced by the satellite signals reflections can be up to tens of meters, which greatly
complicates the precise positioning task in difficult terrain. For example, in dense urban development conditions, with using satellite
navigation technologies in design and construction.
Objective. The main objective is to reduce multipath error signal at least one order, which will significantly increase the accuracy of the
navigation task solution.
Method. When solving the relative positioning tasks, it is often difficult, basically from a financial point of view, to provide the entire
receivers set with the same antennas using hardware methods. Including because of the effective use of funds, it was decided to consider the software methods. In this article, is considered a method for correcting the multipath error by using the wavelet transform of incoming navigation signals.
Results. The efficiency the proposed method is demonstrated on real satellite navigation data. Software implementation and all
experiments are made by the computer mathematics package MATLAB. The results showed the multipath correction method efficiency and
confirmed the expected accuracy after processing by the proposed technique.
Conclusions. Based on the results obtained in this paper, we can conclude that the use of wavelet transformation improves the
measurements quality used to obtain a navigation solution, thereby increasing its accuracy, regardless of terrain.

Keywords


Global navigation satellite systems; Multipath of navigation signal; Wavelet-transformation; Precise positioning.

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DOI: https://doi.org/10.15588/1607-3274-2018-1-1



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