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Dynamic Phase-Only Array Beam Control Using a Genetic Algorithm
Pasadena, California July 19-July 21
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/EH.1999.785456The First NASA/DOD Workshop on Evolva ...
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Randy L. Haupt, University of Nevada at Reno
J. Michael Johnson, University of Nevada at Reno
This paper describes two approaches to evolvable antenna array beams. The first approach uses a genetic algorithm for adaptive phase-only nulling with phased arrays. A genetic algorithm adjusts some of the least significant bits of the beam steering phase shifters in order to minimize the total output power. Using a few bits for nulling speeds convergence of the algorithm and limits pattern distortions. Various results are presented to show the advantages and limitations of this approach. A second problem is a switched beam linear array in which two beams with specified shapes, a narrow beam and a wide beam, are to be produced. The goal of the design effort is to determine a set of complex excitation coefficients such that switching between beams is accomplished by changes in the phase weights alone. Excellent results are obtained by simultaneous, multi-objective optimization based design using a GA instead of sequential a GA optimization for the narrow and wide beam cases individually
Citation:
Randy L. Haupt, J. Michael Johnson, "Dynamic Phase-Only Array Beam Control Using a Genetic Algorithm," eh, pp.217, The First NASA/DOD Workshop on Evolvable Hardware, 1999
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