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Journal of Intelligent Systems

Editor-in-Chief: Fleyeh, Hasan

4 Issues per year


CiteScore 2017: 0.96

SCImago Journal Rank (SJR) 2017: 0.193
Source Normalized Impact per Paper (SNIP) 2017: 0.481

Online
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2191-026X
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Volume 22, Issue 4

Issues

A Genetic Algorithm for Generating Radar Transmit Codes to Minimize the Target Profile Estimation Error

Brien Smith-Martinez
  • Department of Electrical Engineering and Computer Science, University of Kansas, Lawrence, KS, USA
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Arvin Agah
  • Corresponding author
  • Department of Electrical Engineering and Computer Science, University of Kansas, Lawrence, KS, USA
  • Email
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ James M. Stiles
  • Department of Electrical Engineering and Computer Science, University of Kansas, Lawrence, KS, USA
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
Published Online: 2013-06-05 | DOI: https://doi.org/10.1515/jisys-2013-0028

Abstract

This article presents the design and development of a genetic algorithm (GA) to generate long-range transmit codes with low autocorrelation side lobes for radar to minimize target profile estimation error. The GA described in this work has a parallel processing design and has been used to generate codes with multiple constellations for various code lengths with low estimated error of a radar target profile.

Keywords: Evolutionary computing; genetic algorithms; radar transmit codes

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About the article

Corresponding author: Arvin Agah, Department of Electrical Engineering and Computer Science, University of Kansas, Lawrence, KS 66045-7621, USA, e-mail:


Received: 2012-05-07

Published Online: 2013-06-05

Published in Print: 2013-12-01


Citation Information: Journal of Intelligent Systems, Volume 22, Issue 4, Pages 503–525, ISSN (Online) 2191-026X, ISSN (Print) 0334-1860, DOI: https://doi.org/10.1515/jisys-2013-0028.

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