Due to the miniature underwater vehicle's navigation and positioning accuracy is susceptible to the influences of environment and sensor. This paper puts adaptive-filtering algorithm forward to process the sensor information. Meanwhile, modeling the system in consideration of the environmental factors, which enhances the system's adaptive ability and ensures the underwater vehicle's intelligentialize and high precision. The simulation test shows that, after adopts the adaptive-filtering algorithm, the underwarter vehicle's navigation and positioning precision improves significantly. Compared with general filtering algorithms, their calculated amounts are similar, but adaptive filtering has stronger engineering properties. © 2011 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Lu, G., Zhang, A., Liu, Y., & Wang, C. (2011). Research for adaptive intelligent underwater vehicle navigation and positioning system. In Advances in Intelligent and Soft Computing (Vol. 124, pp. 401–407). https://doi.org/10.1007/978-3-642-25658-5_49
Mendeley helps you to discover research relevant for your work.