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Synthesizing Cross-Ambiguity Functions Using An Improved Bat Algorithm
Blekinge Institute of Technology, Faculty of Computing, Department of Communication Systems.
2015 (English)In: Recent Advances in Swarm Intelligence and Evolutionary Computation / [ed] Yang, Xin-She, Berlin: Springer , 2015Chapter in book (Refereed)
Abstract [en]

The cross-ambiguity function (CAF) relates to the correlation processing of signals in radar, sonar, and communication systems in the presence of delays and Doppler shifts. It is a commonly used tool in the analysis of signals in these systems when both delay and Doppler shifts are present. In this chapter, we aim to tackle the CAF synthesization problem such that the synthesized CAF approximates a desired CAF. A CAF synthesization problem is addressed by jointly designing a pair of waveforms using a metaheuristic approach based on the echolocation of bats. Through four examples, it is shown that such an approach can be used as an effective tool in synthesizing different types of CAFs.

Place, publisher, year, edition, pages
Berlin: Springer , 2015.
Studies in Computational Intelligence, ISSN 1860-949X ; Volume 585, 2015, Pages 189-202
Keyword [en]
Metaheuristic Algorithms, Improved Bat Algorithm, Cross-Ambiguity Function
National Category
URN: urn:nbn:se:bth-6550Local ID: 978-3-319-13825-1OAI: diva2:834068

Series: Studies in Computational Intelligence, Vol. 585

Available from: 2014-11-20 Created: 2014-11-19 Last updated: 2016-09-01Bibliographically approved

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Zepernick, Hans-Jürgen
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