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/ |
