Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/44323
Title: Lite GPS pseudo-code generation using genetic algorithms
Authors: Sosa González, Carlos Javier 
Real-Arce, Daniel Alcaraz
Bautista, Tomás 
Montiel-Nelson, Juan A. 
Garcia-Alonso, S.
Monzón-Verona, José M. 
Nooshabadi, Saeid
UNESCO Clasification: 3307 Tecnología electrónica
Keywords: Multi-objective optimization, Genetics algorithms, GNSS, Gold code, GPS, Low computational effort
Issue Date: 2013
Publisher: 0264-4401
Journal: Engineering Computations 
Abstract: In a global positioning system (GPS) receiver, one of the most time-consuming tasks is to identify and track the visible satellites. The paper aims to propose and examine in detail new and shorter identification patterns or lite pseudo-codes – pseudo-random numbers (PRNs) – that allow GPS receivers to reduce dramatically the computational effort to identify and track GPS satellites. Obtaining lite pseudo-codes is a multi-objective optimization problem that the paper resolves using genetic algorithms (GAs).
URI: http://hdl.handle.net/10553/44323
ISSN: 0264-4401
DOI: 10.1108/EC-03-2012-0070
Source: Engineering Computations (Swansea, Wales)[ISSN 0264-4401],v. 30 (17099247), p. 1170-1192
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