Waveform optimization for integrated radar and communication systems using meta-heuristic algorithms

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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 wellsuited 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 © 2011 Springer-Verlag Berlin Heidelberg.

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APA

Jamil, M., & Zepernick, H. J. (2011). Waveform optimization for integrated radar and communication systems using meta-heuristic algorithms. Studies in Computational Intelligence, 359, 183–203. https://doi.org/10.1007/978-3-642-20986-4_7

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