Polynomial Filtering Algorithm for Single-Beacon Navigation Problem
Autor: | Alexei V. Loparev, A. B. Toropov, Michael Basin, Vladimir A. Vasiliev, Oleg A. Stepanov |
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Rok vydání: | 2018 |
Předmět: |
0209 industrial biotechnology
Computer science 010401 analytical chemistry Context (language use) 02 engineering and technology 01 natural sciences 0104 chemical sciences Computer Science::Robotics Radial velocity Polynomial filtering Extended Kalman filter 020901 industrial engineering & automation Control and Systems Engineering Range (statistics) Particle filter Algorithm Statistical hypothesis testing |
Zdroj: | IFAC-PapersOnLine. 51:619-623 |
ISSN: | 2405-8963 |
Popis: | A polynomial filtering algorithm is proposed to solve a sea vehicle navigation problem using information on the range and radial velocity with respect to a fixed beacon, formulated in the context of the Bayesian approach. An example of practical implementation of the designed algorithm is considered. It is shown that the accuracy of the polynomial algorithm is close to that calculated by method of statistical tests with the use of a particle filter; in comparison, the Extended Kalman filter (EKF) yields a worse result. |
Databáze: | OpenAIRE |
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