Neural networks based approach for fine tracking in satellite navigation systems

被引：0
|
作者：
Musso, M [1 ]
Gera, G [1 ]
Cattoni, A [1 ]
Regazzoni, CS [1 ]
机构：
[1] Univ Genoa, Dept Biophys & Elect Engn, DIBE, SP&T Grp, I-16145 Genoa, Italy
来源：
RAST 2005: PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON RECENT ADVANCES IN SPACE TECHNOLOGIES | 2005年
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D O I：
暂无
中图分类号：
V [航空、航天];
学科分类号：
08 ; 0825 ;
摘要：
In this Paper a novel method to solve the fine synchronization problem in GNSS receivers is presented. In fact the extended evolution of GNSS-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.
引用
收藏
页码：369 / 373
页数：5
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