filtering of stochastic processe swith fractal structure in relation to navigating information processing

Clicks: 320
ID: 195430
2016
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Abstract
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.
Reference Key
amosov2016uenyefiltering Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Mr. Oleg S. Amosov;Ms. Svetlana G. Bayena
Journal artificial cells, nanomedicine and biotechnology
Year 2016
DOI
10.17084/2016.IV-1(28).5
URL
http://www.uzknastu.ru/files/pdf/28/1/5.pdf
Keywords
kalman filter wavelet tracking

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