Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/49285
Title: Generation of new detection codes for GPS satellites using NSGA-II
Authors: Sosa González, Carlos Javier 
Bautista, Tomas 
Alcaraz, Daniel 
Garcia-Alonso, Santiago 
Montiel-Nelson, Juan A. 
UNESCO Clasification: 3307 Tecnología electrónica
Keywords: Receiver
Genetic Algorithms
GNSS
Gold Codes
Low Computational Effort, et al
Issue Date: 2015
Publisher: Springer 
Journal: Computational Methods in Applied Sciences 
Conference: 10th EUROGEN International Conference 2013 
Abstract: In this paper we obtain new detection codes, to determine whether a GPS satellite in particular is visible, using NSGA-II as multi-objective optimization engine. Our approach takes into consideration the length of the code and the sampling frequency in comparison with other approaches found in the literature that fix those design parameters. The obtained new detection codes produce an improvement of the 19% in terms of CPU execution time. Results demonstrate that both design parameters must be taken in consideration to obtain high quality detection codes.
URI: http://hdl.handle.net/10553/49285
ISBN: 978-3-319-11540-5
ISSN: 1871-3033
DOI: 10.1007/978-3-319-11541-2_34
Source: Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences / David Greiner, Blas Galván, Jacques Périaux, Nicolas Gauger, Kyriakos Giannakoglou, Gabriel Winter (Eds.). Computational Methods in Applied Sciences [ISSN 1871-3033], v. 36, p. 511-520
Appears in Collections:Capítulo de libro
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