Application of Genetic Algorithms to Transmit Code Problem of Synthetic Aperture Radar
View/ Open
Issue Date
2009Author
Soto, Fernando Palacios
Stiles, James Marion
Agah, Arvin
Publisher
De Gruyter
Type
Article
Article Version
Scholarly/refereed, publisher version
Metadata
Show full item recordAbstract
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.
Description
This is the published version. Copyright De Gruyter
Collections
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.
Items in KU ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
We want to hear from you! Please share your stories about how Open Access to this item benefits YOU.