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Waveform Optimization for Integrated Radar and Communication Systems Using Meta-Heuristic Algorithms
Responsible organisation
2011 (English)In: Computational Optimization and Applications in Engineering and Industry / [ed] Yang, Xin-She; Koziel, Slawomir, Berlin: Springer-Verlag , 2011, 183-203 p.Chapter in book (Refereed)
Abstract [en]

Integration of multiple functions such as navigation and radar tasks with communication applications has attracted substantial interest in recent years. In this chapter, we therefore focus on the waveform optimization for such integrated systems based on Oppermann sequences. These sequences are defined by a number of parameters that can be chosen to design sequence sets for a wide range of performance characteristics. It will be shown that meta-heuristic algorithms are well suited to find the optimal parameters for these sequences. The motivation behind the use of biologically inspired heuristic and/or meta-heuristic algorithms is due to their ability to solve large, complex, and dynamic problems.

Place, publisher, year, edition, pages
Berlin: Springer-Verlag , 2011. 183-203 p.
Keyword [en]
Waveform design, Meta--Heuristic Algorithms
National Category
Telecommunications Signal Processing
Identifiers
URN: urn:nbn:se:bth-7463DOI: 10.1007/978-3-642-20986-4_7Local ID: oai:bth.se:forskinfo1A2B77E5A70E7DF0C12578FD002AC357ISBN: 978-364220985-7 (print)OAI: oai:DiVA.org:bth-7463DiVA: diva2:835085
Note
http://www.springerlink.com/content/4772v5m55w383746/Available from: 2012-09-18 Created: 2011-08-31 Last updated: 2015-06-30Bibliographically approved

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CiteExportLink to record
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  • apa
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