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Application of Genetic Algorithms to Transmit Code Problem of Synthetic Aperture Radar
Soto, Fernando Palacios Stiles, James Marion Agah, Arvin
Soto, Fernando Palacios
Stiles, James Marion
Agah, Arvin
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Abstract
This paper presents the design and. development of a genetic algorithm to compute an upper bound to evaluate a formal algorithm developed to solve the transmit code problem of Synthetic Aperture Radar (SAR). The input to the genetic algorithm is a set of propagation matrices that contain virtual information of the transformation of a signal transmitted and received by a SAR. The output is an upper bound approximately 11 times smaller than the results provided by the formal algorithm. The contributions of this paper are twofold: the upper bound found for the transmit code problem, and a tool that can be used for further research in similar domains.
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This is the published version. Copyright De Gruyter
Date
2009
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De Gruyter
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Agah_ApertureRadar.pdf
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Keywords
Genetic algorithms, Synthetic aperture radar, Soft computing, Transmit code problem
Citation
Soto, Fernando Palacios, James M. Stiles, and Arvin Agah. "Application of Genetic Algorithms to Transmit Code Problem of Synthetic Aperture Radar." Journal of Intelligent Systems 18.1-2 (2009): n. pag. http://dx.doi.org/10.1515/JISYS.2009.18.1-2.105.