Kalman Filtering Applied to Low-Cost Navigation Systems: A Preliminary Approach

Duque, José Vieira; V.F.P., da Conceição; Teodoro, M. Filomena

doi:10.1007/978-3-319-95165-2_36

Cited by 3 publications

(3 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Related with navigation and systems and other areas of study such as control, economics, aero spatial, others, we can find in literature a wide number of KF algorithm applications. In [10] and [11] a KF was applied to a low-cost navigation system. The authors of [12] design KF's to model motion control in a marine environment.…”

Section: Introductionmentioning

confidence: 99%

Prediction of Ship Movement Using a Kalman Filter Algorithm

Teodoro,

Pereira,

Henriques

et al. 2024

Advances in Science and Technology

Self Cite

View full text Add to dashboard Cite

The Automatic identification system is a system used globally by ships that allows the easy identification of other surface contacts (also equipped with an automatic identification system equipment). The main objective of the present work is to validate experimentally the prediction of a ship's movement. A Kalman Filter algorithm, a recursive technique widely used in several scientific areas of study including navigation, is designed to estimate and predict the movement. In this work, a non-linear kinematic model is proposed to analyse and predict the movement of an automatic identification system contact, based on the data transmitted by it. The results evidence that the automatic identification system data can be used as input of a Kalman filter to get consistent and reliable information, an advantage to decision makers so they can act with adequate knowledge and in time.

show abstract

Section: Introductionmentioning

confidence: 99%

Prediction of Ship Movement Using a Kalman Filter Algorithm

Teodoro,

Pereira,

Henriques

et al. 2024

Advances in Science and Technology

Self Cite

View full text Add to dashboard Cite

show abstract

“…These filters have numerous applications, for example, the control of complex dynamic systems in manufacturing processes [3], aeronautics [4], navigation [5] [6], control [7], [8], [9], economics [10], [11], finance, tracking [12], [13], [14], medicine [15], [16], etc. Some recent works, under the aim of navigation systems or related were developed in [17], [18], [19] [20].…”

Section: Introductionmentioning

confidence: 99%

“…Under a maritime and naval topic, in [17], [18] a low-cost positioning solution for small sailboats was explored, the Kalman filtering was used to process data from a micro-electro-mechanical system (MEM) inertial sensor and a GPS receiver on small sailing vessel. In [19] a Kalman filter was implemented to model the Fuel Consumption of a NRP ship.…”

Section: Introductionmentioning

confidence: 99%

Kalman Filtering Applied to some Navigation Systems

Teodoro,

Mota,

Pires

et al. 2024

Advances in Science and Technology

Self Cite

View full text Add to dashboard Cite

The development of the technology in the last decades, and, considering the navigation and positioning systems, the appearance of the micro-electro-mechanical systems allowed solutions of positioning and navigation low-cost. Framing this analysis with the environment in which we find ourselves inserted, it was decided to use a Kalman filter that adapted to the recorded measurements of a sensor used on one of the ships of the Portuguese Navy: an anemometer. The anemometer’s function is to measure the direction and relative wind speed felt by the ship. This equipment directly affects the navigation of the ship, not only on a ship like the NRP Sagres, in terms of sailing, for which the knowledge of wind direction and speed is crucial, but for all ships, or when navigating in restricted waters, due to the sinking of the ship caused by the wind, or for a large number of operations, such as maneuvering of the vessel, flight operations, among others. As previously mentioned, this sensor, like many others, is subject to a series of interferences, causing errors, which are still due to possible operating and reading errors by the operator. The objective of this work is to filter the data obtained from measurements of the anemometer at NRP Sagres, with the purpose of reducing the previously mentioned errors. The results are promising and consistent, allowing us count with the expected reliable information.

show abstract