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.
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Acknowledgments
This work is patent pending and was funded under project BATTLEWISE (TEC2011-29148-C02-01) of the Ministry of Economy and Competitiveness.
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Sosa, J., Bautista, T., Alcaraz, D., García-Alonso, S., Montiel-Nelson, J.A. (2015). Generation of New Detection Codes for GPS Satellites Using NSGA-II. In: Greiner, D., Galván, B., Périaux, J., Gauger, N., Giannakoglou, K., Winter, G. (eds) Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences. Computational Methods in Applied Sciences, vol 36. Springer, Cham. https://doi.org/10.1007/978-3-319-11541-2_34
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DOI: https://doi.org/10.1007/978-3-319-11541-2_34
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