Volume 2 Number 3 (May 2007)
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JCP 2007 Vol.2(3): 64-75 ISSN: 1796-203X
doi: 10.4304/jcp.2.3.64-75

Parallel Dynamic Parameter Adaption of Adaptive Array Antennas Based on Nature Inspired Optimisation

Gabriella Kókai, Martin Böhner, Tonia Christ, Hans Holm Frühauf
1Gabriella Kókai, Martin Böhner, Tonia Christ, Hans Holm Frühauf
2Department of RF and Microwave Design, Fraunhofer Institute for Integrated Circuits IIS Am Wolfsmantel 33 D-91058 Erlangen, Germany

Abstract—The following paper describes and discusses the suitability of the particle swarm optimization (PSO), of the simulated annealing algorithm (SA) and of the genetic algorithm (GA) for the employment with blind adaptation of the directional characteristic of array antennas. By means of extensive simulations, it was confirmed that the suggested PSO and SA and the improved GA are able to follow dynamic changes in the environment. Based on these results a concept is discussed for a high-parallel optimizing procedure as distributed logic in Application-Specific Integrated Circuits (ASICs) or Field Programmable Gate Arrays (FPGAs). Thus an online procedure is available for time-critical applications of the adaptive beam forming.

Index Terms—article swarm optimization, simulated annealing, heuristic methods, hardware based optimization, adaptive antennasarticle swarm optimization, simulated annealing, heuristic methods, hardware based optimization, adaptive antennasp

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Cite: Gabriella Kókai, Martin Böhner, Tonia Christ, Hans Holm Frühauf, "Parallel Dynamic Parameter Adaption of Adaptive Array Antennas Based on Nature Inspired Optimisation," Journal of Computers vol. 2, no. 3, pp. 64-75, 2007.

General Information

ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Bimonthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat,etc
E-mail: jcp@iap.org
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