Solving the Nonlinear Problems of Estimation for Navigation Data Processing Using Continuous-Time Particle Filter
- Авторы: Rybakov K.1
-
Учреждения:
- Moscow Aviation Institute
- Выпуск: Том 10, № 1 (2019)
- Страницы: 27-34
- Раздел: Article
- URL: https://journals.rcsi.science/2075-1087/article/view/204588
- DOI: https://doi.org/10.1134/S2075108719010061
- ID: 204588
Цитировать
Аннотация
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.
Об авторах
K. Rybakov
Moscow Aviation Institute
Автор, ответственный за переписку.
Email: rkoffice@mail.ru
Россия, Moscow, 125993