THE MULTIPATH ERRORS CORRECTION IN THE TESTIMONY OF SATELLITE NAVIGATION SYSTEMS BASED ON THEIR SIGNALS WAVELET TRANSFORMS
Keywords:Global navigation satellite systems, Multipath of navigation signal, Wavelet-transformation, Precise positioning.
AbstractContext. 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.
Kaplan E., Hegarty C. Understanding GPS. Principles and
application. Second Edition. Norwood, ARTECH HOUSE, INC,
, 723 p.
Mikhailov S. V. Radiowave from the navigation sattelite
propagation multipath influence on the accuracy of determining
the coordinates by GPS-receiver, Wireless Technologies, 2006,
No. 2, P. 60–71.
Parkinson B. W. Global Positioning System: Theory and
Application. Washington DC: American Institue of Aeronautics
& Astronautics, Inc., 1996, Vol. I, 793 p.
Mitrakhovich I. A., Kozadaev K. V. Notch filter reducing the
multipath effects influence on the satellite navigation systems
accuracy, Vestnik BSU. Serie 1, 2016, No. 3, pp. 84–89
Takasu T. RTKLib ver 2.4.2 Manual. Tokyo , IPNT-J, 2013, 183 p.
Chang X.-W., Yang X., Zhou T. MLAMBDA: a modiыed LAMBDA
method for integer least-squares estimation, J Geod, 2005,
No. 79, pp. 552–565. DOI 10.1007/s00190-005-0004-x
Widrow B. S. Stearns Adaptive signal processing. Moscow, Radio
and Communication, 1985, 440 p.
Daubechies I. Ten lectures on wavelets. Izhevsk, SRC “Regular
and chaotic dynamics”, 2001, 464 p.
Fant G. Acoustic Theory jf Speech Production, Mouton, The
Hague, 1970, 328 p.
Flanagan J. L. Speech Analysis, Synthesis and Perception, 2nd
Ed., Springer-Verlag, New York, 1972, 428 p.
Rabiner L. R., Shafer R. V. Transl. from Eng. Red by. M. V.
Nazarova и Y. N. Prokhorova Speech signals digital processing.
Moscow, Radio and Communication, 1981, 496 p.
Moskovsky S. B., Sergeev A. N., Lalina N. A. Signal purification
from the noise using the wavelet transform, Universum:
Engineering: electronic scientific. Journal, 2015, No. 2 (15).
Kozlova E. I., Kireyeva K. I., Mitrakhovich I. A Voice message
useful signal Isolation against a random noise influence using the
wavelet transform, Electronicka-Info, 2016, No. 10, pp. 52–55
Berkner K., Gormish M., Schwartz E. L. Multiscale Sharpening
and Smoothing in Besov Spaces with Applications to Image
Enhancement, Applied and Computational Harmonic Analysis,
, Vol. 11, pp. 2–31. DOI:10.1006/acha.2000.0339
Yakovlev A. N. Introduction to wavelet transforms: A textbook.
Novosibirsk, Publishing House of the National Technical
University, 2003, 104 p.
How to Cite
Copyright (c) 2018 K. V. Kozadaev, E. I. Kozlova, I. A. Mitrakhovich, K. I. Kireyeva
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Creative Commons Licensing Notifications in the Copyright Notices
The journal allows the authors to hold the copyright without restrictions and to retain publishing rights without restrictions.
The journal allows readers to read, download, copy, distribute, print, search, or link to the full texts of its articles.
The journal allows to reuse and remixing of its content, in accordance with a Creative Commons license СС BY -SA.
Authors who publish with this journal agree to the following terms:
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License CC BY-SA that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.