FILTERING OF STOCHASTIC PROCESSE SWITH FRACTAL STRUCTURE IN RELATION TO NAVIGATING INFORMATION PROCESSING

FILTERING OF STOCHASTIC PROCESSE SWITH FRACTAL STRUCTURE IN RELATION TO NAVIGATING INFORMATION PROCESSING

In relation to navigation and mobile object control the fractal nature processes are revealed, that is errors of inertial sensors, in particular the goings of gyroscopes, trajectory movement of the mobile objects. Modeling of a mobile object stochastic trajectory based on fractal Wiener process tak...

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Bibliographic Details
Main Authors: Mr. Oleg S. Amosov, Ms. Svetlana G. Bayena
Format: Article
Language:Russian
Published: Komsomolsk-na-Amure State Technical University 2016-12-01
Series:Učenye Zapiski Komsomolʹskogo-na-Amure Gosudarstvennogo Tehničeskogo Universiteta
Subjects:
tracking
Kalman filter
synthetics algorithm estimation
fractal Wiener process
wavelet
Hurst exponent
Online Access:http://www.uzknastu.ru/files/pdf/28/1/5.pdf
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spelling doaj-36bb4b2515644a9e92d252375a4817d82020-11-24T22:37:15ZrusKomsomolsk-na-Amure State Technical UniversityUčenye Zapiski Komsomolʹskogo-na-Amure Gosudarstvennogo Tehničeskogo Universiteta2076-43592222-52182016-12-0111344410.17084/2016.IV-1(28).52016-28-1-5FILTERING OF STOCHASTIC PROCESSE SWITH FRACTAL STRUCTURE IN RELATION TO NAVIGATING INFORMATION PROCESSINGMr. Oleg S. Amosov0Ms. Svetlana G. Bayena1Komsomolsk-on-Amur state technical universityKomsomolsk-on-Amur state technical universityIn relation to navigation and mobile object control the fractal nature processes are revealed, that is errors of inertial sensors, in particular the goings of gyroscopes, trajectory movement of the mobile objects. Modeling of a mobile object stochastic trajectory based on fractal Wiener process taking into account Hurst exponent is offered. For numerical realization of this process, the wavelet-based de-composition is used. Features of trajectory parameter estimation by using Kalman filter and the synthetic algorithms are investigated. The illustrating examples are given.http://www.uzknastu.ru/files/pdf/28/1/5.pdftrackingKalman filtersynthetics algorithm estimationfractal Wiener processwaveletHurst exponent
collection DOAJ
language Russian
format Article
sources DOAJ
author Mr. Oleg S. Amosov
Ms. Svetlana G. Bayena
spellingShingle Mr. Oleg S. Amosov
Ms. Svetlana G. Bayena
FILTERING OF STOCHASTIC PROCESSE SWITH FRACTAL STRUCTURE IN RELATION TO NAVIGATING INFORMATION PROCESSING
Učenye Zapiski Komsomolʹskogo-na-Amure Gosudarstvennogo Tehničeskogo Universiteta
tracking
Kalman filter
synthetics algorithm estimation
fractal Wiener process
wavelet
Hurst exponent
author_facet Mr. Oleg S. Amosov
Ms. Svetlana G. Bayena
author_sort Mr. Oleg S. Amosov
title FILTERING OF STOCHASTIC PROCESSE SWITH FRACTAL STRUCTURE IN RELATION TO NAVIGATING INFORMATION PROCESSING
title_short FILTERING OF STOCHASTIC PROCESSE SWITH FRACTAL STRUCTURE IN RELATION TO NAVIGATING INFORMATION PROCESSING
title_full FILTERING OF STOCHASTIC PROCESSE SWITH FRACTAL STRUCTURE IN RELATION TO NAVIGATING INFORMATION PROCESSING
title_fullStr FILTERING OF STOCHASTIC PROCESSE SWITH FRACTAL STRUCTURE IN RELATION TO NAVIGATING INFORMATION PROCESSING
title_full_unstemmed FILTERING OF STOCHASTIC PROCESSE SWITH FRACTAL STRUCTURE IN RELATION TO NAVIGATING INFORMATION PROCESSING
title_sort filtering of stochastic processe swith fractal structure in relation to navigating information processing
publisher Komsomolsk-na-Amure State Technical University
series Učenye Zapiski Komsomolʹskogo-na-Amure Gosudarstvennogo Tehničeskogo Universiteta
issn 2076-4359
2222-5218
publishDate 2016-12-01
description In relation to navigation and mobile object control the fractal nature processes are revealed, that is errors of inertial sensors, in particular the goings of gyroscopes, trajectory movement of the mobile objects. Modeling of a mobile object stochastic trajectory based on fractal Wiener process taking into account Hurst exponent is offered. For numerical realization of this process, the wavelet-based de-composition is used. Features of trajectory parameter estimation by using Kalman filter and the synthetic algorithms are investigated. The illustrating examples are given.
topic tracking
Kalman filter
synthetics algorithm estimation
fractal Wiener process
wavelet
Hurst exponent
url http://www.uzknastu.ru/files/pdf/28/1/5.pdf
work_keys_str_mv AT mrolegsamosov filteringofstochasticprocesseswithfractalstructureinrelationtonavigatinginformationprocessing
AT mssvetlanagbayena filteringofstochasticprocesseswithfractalstructureinrelationtonavigatinginformationprocessing
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