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Beamforming with Genetic Algorithms

  • Randy Haupt
Part of the Signals and communication technology book series (SCT)

Abstract

The genetic algorithm has proven useful in the design of conventional, static beamforming networks. It is also quite useful as an adaptive algorithm for smart antennas. This paper demonstrates two uses of the genetic algorithm to adaptively control antenna characteristics. The first is a phaseonly implementation in which nulls are adaptively placed using the least significant bits of the phase shifters. The second application adaptively controls the currents on crossed dipoles to improve the link budget in a satellite communications system. In both cases, the genetic algorithm quickly improves the antenna performance.

Keywords

Genetic Algorithm Main Beam Smart Antenna Phase Setting Adaptive Antenna 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Randy Haupt
    • 1
  1. 1.Applied Research LaboratoryThe Pennsylvania State UniversityState CollegeUSA

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