Solving the Nonlinear Problems of Estimation for Navigation Data Processing Using Continuous-Time Particle Filter
- Authors: Rybakov K.A.1
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Affiliations:
- Moscow Aviation Institute
- Issue: Vol 10, No 1 (2019)
- Pages: 27-34
- Section: Article
- URL: https://journals.rcsi.science/2075-1087/article/view/204588
- DOI: https://doi.org/10.1134/S2075108719010061
- ID: 204588
Cite item
Abstract
A new continuous-time particle filter algorithm is proposed for solving the problems of nonlinear estimation of signal when describing the mathematical models of an observed object and a measuring system by means of stochastic differential equations. This algorithm can be used in the estimation problems related to navigation data processing. The algorithm verification is presented by example of a navigation system error estimation using geophysical field map data.
About the authors
K. A. Rybakov
Moscow Aviation Institute
Author for correspondence.
Email: rkoffice@mail.ru
Russian Federation, Moscow, 125993