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10.1109/AHS.2006.76guideproceedingsArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
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Using Hardware-Based Particle Swarm Method for Dynamic Optimization of Adaptive Array Antennas

Published: 15 June 2006 Publication History

Abstract

The following article describes and discusses the suitability of the particle swarm optimization (PSO) 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 is 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.

Cited By

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  • (2017)Pipeline Implementation of Polyphase PSO for Adaptive Beamforming AlgorithmWireless Communications & Mobile Computing10.1155/2017/39268212017Online publication date: 19-Dec-2017
  • (2012)A modular and efficient hardware architecture for particle swarm optimization algorithmMicroprocessors & Microsystems10.1016/j.micpro.2012.02.00136:4(289-302)Online publication date: 1-Jun-2012
  • (2010)Parallel scalable hardware implementation of asynchronous discrete particle swarm optimizationEngineering Applications of Artificial Intelligence10.1016/j.engappai.2009.12.00123:2(177-187)Online publication date: 1-Mar-2010

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Published In

cover image Guide Proceedings
AHS '06: Proceedings of the first NASA/ESA conference on Adaptive Hardware and Systems
June 2006
484 pages
ISBN:0769526144

Publisher

IEEE Computer Society

United States

Publication History

Published: 15 June 2006

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Cited By

View all
  • (2017)Pipeline Implementation of Polyphase PSO for Adaptive Beamforming AlgorithmWireless Communications & Mobile Computing10.1155/2017/39268212017Online publication date: 19-Dec-2017
  • (2012)A modular and efficient hardware architecture for particle swarm optimization algorithmMicroprocessors & Microsystems10.1016/j.micpro.2012.02.00136:4(289-302)Online publication date: 1-Jun-2012
  • (2010)Parallel scalable hardware implementation of asynchronous discrete particle swarm optimizationEngineering Applications of Artificial Intelligence10.1016/j.engappai.2009.12.00123:2(177-187)Online publication date: 1-Mar-2010

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