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

关键词：

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

页码：369 / 373

页数：5

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