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Erschienen in:
Swarm Intelligence and Evolutionary Computation: Overview and Analysis Kapitel lesen Erstes Kapitel lesen

2015 | OriginalPaper | Buchkapitel

Synthesizing Cross-Ambiguity Functions Using the Improved Bat Algorithm

verfasst von : Momin Jamil, Hans-Jürgen Zepernick, Xin-She Yang

Erschienen in: Recent Advances in Swarm Intelligence and Evolutionary Computation

Verlag: Springer International Publishing

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Abstract

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.

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Vorheriges Kapitel The Potential of the Firefly Algorithm for Damage Localization and Stiffness Identification
Nächstes Kapitel Sustainable Building Design: A Review on Recent Metaheuristic Methods
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Metadaten
Titel
Synthesizing Cross-Ambiguity Functions Using the Improved Bat Algorithm
verfasst von
Momin Jamil
Hans-Jürgen Zepernick
Xin-She Yang
Copyright-Jahr
2015
Buch
Recent Advances in Swarm Intelligence and Evolutionary Computation

Print ISBN: 978-3-319-13825-1

Electronic ISBN: 978-3-319-13826-8

Copyright-Jahr: 2015

DOI
https://doi.org/10.1007/978-3-319-13826-8_10