The article presents a comparative analysis of two variants of the Particle Kalman Filter designed by using two different ship motion models. The first filter bases only on the kinematic model of the ship and can be used in many types of vehicles, regardless of the vehicle dynamics model. The input value to the filter is the noisy position of the ship. The second filter makes use of the kinematic and dynamic models of the moving ship. The input values to the filter are the noisy ship position and the forces generated by ship propellers during manoeuvres. These filters are used as state observers. The output values from the filters are position and velocity vectors in three degrees of freedom in the global coordinate system. The simulation test results show that both filters reveal similar accuracy in state observer.
Authors
Additional information
- DOI
- Digital Object Identifier link open in new tab 10.1007/978-3-319-64474-5
- Category
- Aktywność konferencyjna
- Type
- materiały konferencyjne indeksowane w Web of Science
- Language
- angielski
- Publication year
- 2018
