JOURNAL OF COMPUTERS (JCP)
ISSN : 1796-203X
Volume : 2    Issue : 3    Date : May 2007

Parallel Dynamic Parameter Adaption of Adaptive Array Antennas Based on Nature Inspired
Optimisation
Gabriella Kókai, Martin Böhner, Tonia Christ, and Hans Holm Frühauf
Page(s): 64-76
Full Text:
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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