Affiliated with the

Communication & Space

Sciences Laboratory

Arbitrary beam with limited ripple synthesized for two different types of array elements using an adaptive GA. (a) 50-element phased array with directive sources, and (b) 50-element phased array with isotropic sources. Insets: optimized amplitude and phase weights for each case. |

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2003 IEEE International Symposium on Antennas and Propagation, Columbus, Ohio, June 22-27.

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2003 IEEE International Symposium on Antennas and Propagation, Columbus, Ohio, June 22-27.

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2001 IEEE International Symposium on Antennas and Propagation, Boston, Massachusetts, July 8-13.

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2003 IEEE AP-S International Symposium on Antennas and Propagation and USNC/URSI North American Radio Science Meeting, URSI Digest, p. 447, Columbus, Ohio, June 22-27, 2003.

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swarm optimizer is implemented and compared to a genetic algorithm for phased array synthesis of a far-field sidelobe notch, using amplitude-only, phase-only, and complex tapering. The results show that some optimization scenarios are better suited to one method versus the other (i.e., particle swarm optimization performs better in some cases while genetic algorithms perform better in others), which implies that the two methods traverse the problem hyperspace differently. The particle swarm optimizer shares the ability of the genetic algorithm to handle arbitrary nonlinear cost functions, but with a much simpler implementation it clearly demonstrates good possibilities for widespread use in electromagnetic optimization.

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2004 IEEE International Symposium on Antennas and Propagation, Monterey, California, June 20-26.

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IEEE Transactions on Antennas and Propagation, Vol. 53, No. 1, pp.356-371, January 2005.

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IEEE Transactions on Antennas and Propagation, Vol. 53, No. 11, pp.3604-3615, November 2005.

how the underlying self-similar properties of polyfractal arrays can be exploited to increase the speed of the associated array factor calculations. This speed increase dramatically reduces the time required for the genetic algorithm to converge thereby making it possible to effectively evolve optimal array configurations which are much larger than has been previously possible. Moreover, the fractal-random properties of these polyfractal arrays are shown to provide substantially wider bandwidth performance than their conventional counterparts. Finally, several design examples of genetically optimized linear polyfractal arrays with narrow beamwidths, improved sidelobe suppression and wide bandwidths are presented.

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IEEE Transactions on Antennas and Propagation, Vol. 55, No. 3, pp. 583 - 593, March 2007.

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IEEE Transactions on Antennas and Propagation, Vol. 59, No. 5, pp. 1748 - 1751, May 2011.

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