Title :
Neural networks based approach for fine tracking in satellite navigation systems
Author :
Musso, M. ; Gera, G. ; Cattoni, A. ; Regazzoni, C.S.
Author_Institution :
Dept. of Biophys. & Electron. Eng., Genoa Univ., Italy
Abstract :
In this paper a novel method to solve the fine synchronization problem in GLASS receivers is presented. In fact the extended evolution of GLASS-based applications will imply the growth of fast and precise navigation systems. The aim of this study is to found an alternative solution to the classical non-coherent delay lock loop. In particular, the proposed method, based on self organizing map (SOM) a particular type of neural networks, allows to improve the performances in multipath channel.
Keywords :
radio receivers; satellite navigation; self-organising feature maps; synchronisation; telecommunication computing; tracking; GNSS receivers; fine synchronization problem; multipath channel; navigation systems; neural networks; self organizing map; Aircraft navigation; Biomedical signal processing; Frequency estimation; Frequency synchronization; Intelligent networks; Multipath channels; Neural networks; Satellite broadcasting; Satellite navigation systems; Tracking loops;
Conference_Titel :
Recent Advances in Space Technologies, 2005. RAST 2005. Proceedings of 2nd International Conference on
Print_ISBN :
0-7803-8977-8
DOI :
10.1109/RAST.2005.1512594
