Title :
Navigation and tracking of underwater vehicles: Kalman based and neural architectures
Author :
Rendas, M. Joäo ; Lourtie, Isabel M G ; Morais, M. Lurdes
Author_Institution :
Dept. of Electr. & Comput. Eng., Inst. Superior Tecnico, Lisbon, Portugal
Abstract :
The paper presents two alternative implementations of the navigation system for an autonomous underwater vehicle: a model based (Kalman filter) approach, and a neural architecture. The authors compare both solutions by means of simulations, and demonstrate the applicability of the neural solution to the problem of remote tracking of multiple AUVs
Keywords :
Kalman filters; acoustic signal processing; marine systems; navigation; neural nets; underwater sound; Kalman based architectures; autonomous underwater vehicle; navigation; neural architectures; remote tracking; tracking; underwater vehicles; Filtering; Kalman filters; Navigation; Nonlinear filters; Position measurement; Sea measurements; Sonar equipment; Transponders; Underwater tracking; Underwater vehicles;
Conference_Titel :
Electrotechnical Conference, 1994. Proceedings., 7th Mediterranean
Conference_Location :
Antalya
Print_ISBN :
0-7803-1772-6
DOI :
10.1109/MELCON.1994.380827
