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Levy Flight Based Cuckoo Search Algorithm for Synthesizing Cross-Ambiguity Functions
Blekinge Institute of Technology, School of Computing.
Blekinge Institute of Technology, School of Computing.ORCID iD: 0000-0003-3604-2766
2013 (English)Conference paper, Published paper (Refereed) Published
Abstract [en]

The cross-ambiguity function (CAF) is commonly used to analyze the delay-Doppler characteristics of signals in radar, sonar, and communication systems. Accordingly, a CAF relates to the correlation processing of signals in the presence of delays and Doppler shifts. In this paper, we use a metaheuristic approach to address the CAF synthesis problem by jointly designing a pair of waveforms. The CAF of waveforms designed in this way, approximates a desired pre-defined CAF. It turns out that the waveforms designed by this approach have the benefit of low peak-to-average power ratios. Numerical examples are presented to show that nature-inspired metaheuristic algorithms can be used as an effective tool to synthesize different types of CAFs.

Place, publisher, year, edition, pages
San Diego, USA: IEEE , 2013.
Keywords [en]
Levy Flight, Cuckoo Search, Cross-Ambiguity Functions
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:bth-6355ISI: 000347184000139Local ID: oai:bth.se:forskinfo987441046CBED390C1257C2E005DAF47OAI: oai:DiVA.org:bth-6355DiVA, id: diva2:833853
Conference
IEEE Military Communications Conference
Available from: 2015-05-25 Created: 2013-11-25 Last updated: 2021-05-03Bibliographically approved

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Jamil, MominZepernick, Hans-Jürgen

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