Application of Genetic Algorithms to Transmit Code Problem of Synthetic Aperture Radar

Soto, Fernando Palacios; Stiles, James Marion; Agah, Arvin

dc.contributor.author	Soto, Fernando Palacios
dc.contributor.author	Stiles, James Marion
dc.contributor.author	Agah, Arvin
dc.date.accessioned	2016-01-29T16:26:02Z
dc.date.available	2016-01-29T16:26:02Z
dc.date.issued	2009
dc.identifier.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.	en_US
dc.identifier.uri	http://hdl.handle.net/1808/19811
dc.description	This is the published version. Copyright De Gruyter	en_US
dc.description.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.	en_US
dc.publisher	De Gruyter	en_US
dc.subject	Genetic algorithms	en_US
dc.subject	Synthetic aperture radar	en_US
dc.subject	Soft computing	en_US
dc.subject	Transmit code problem	en_US
dc.title	Application of Genetic Algorithms to Transmit Code Problem of Synthetic Aperture Radar	en_US
dc.type	Article
kusw.kuauthor	Agah, Arvin
kusw.kudepartment	Engineering Administration	en_US
dc.identifier.doi	10.1515/JISYS.2009.18.1-2.105
kusw.oaversion	Scholarly/refereed, publisher version
kusw.oapolicy	This item meets KU Open Access policy criteria.
dc.rights.accessrights	openAccess

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