Waveform Optimization for Integrated Radar and Communication Systems Using Meta-Heuristic Algorithms

Document type: Bookchapters
Peer reviewed: Yes
Author(s): Momin Jamil, Hans-Jürgen Zepernick
Title: Waveform Optimization for Integrated Radar and Communication Systems Using Meta-Heuristic Algorithms
Book: Computational Optimization and Applications in Engineering and Industry
Year: 2011
Volume: 359/2011
Pagination: 183-203
Editor: Xin-She Yang, Slawomir Koziel
ISBN: 978-364220985-7
Publisher: Springer-Verlag
City: Berlin
URI/DOI: 10.1007/978-3-642-20986-4_7
Organization: Blekinge Institute of Technology
Department: School of Computing (Sektionen för datavetenskap och kommunikation)
School of Computing S-371 79 Karlskrona
+46 455 38 50 00
http://www.bth.se/com
Authors e-mail: momin.jamil@bth.se, hans-jurgen.zepernick@bth.se
Language: English
Abstract: 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.
Subject: Telecommunications\General
Signal Processing\General
Keywords: Waveform design, Meta--Heuristic Algorithms
Note: http://www.springerlink.com/content/4772v5m55w383746/
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