NDLI: The Pareto Optimization of Ultrawideband Polyfractal Arrays

Content Provider	IEEE Xplore Digital Library
Author	Petko, J.S. Werner, D.H.
Copyright Year	1963
Abstract	The application of global optimization techniques, such as genetic algorithms, to antenna array layouts can provide versatile design methodologies for highly directive, thinned, frequency agile, and shaped-beam antenna systems. However, these methodologies have their limitations when applied to more demanding design scenarios. Global optimizations are not well equipped to handle the large number of parameters used to describe large- antenna arrays. To overcome this difficulty, a new class of arrays was recently introduced called polyfractal arrays that possess properties well suited for the optimization of large- arrays. Polyfractal arrays are uniformly excited with an underlying self-similar geometrical structure that leads to aperiodic element layouts. This paper expands on polyfractal array design methodologies by applying a robust Pareto optimization technique with the goal of reducing the peak sidelobe levels at several frequencies specified over a wide bandwidth. A recursive beamforming algorithm and an autopolyploidy based mutation native to polyfractal geometries are used to dramatically accelerate the genetic algorithm optimization process. This paper also demonstrates that the properties of polyfractal arrays can be exploited to create designs that possess no grating lobes and relatively low sidelobe levels over ultrawide bandwidths. The best example discussed in this paper maintains a dB peak sidelobe level with no grating lobes from a , to more than a minimum spacing between elements, which corresponds to at least a 40:1 bandwidth for the array.
Sponsorship	IEEE Antennas and Propagation Society
Starting Page	97
Ending Page	107
Page Count	11
File Size	1243589
File Format	PDF
ISSN	0018926X
Volume Number	56
Issue Number	1
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Pareto optimization Ultra wideband technology Directive antennas Bandwidth Genetic algorithms Antenna arrays Design methodology Frequency Gratings Design optimization ultrawideband (UWB) Antenna array autopolyploidy fractal fractal- random genetic algorithm (GA) large- $N$ Pareto polyfractal polyploidy strength Pareto evolutionary algorithm (SPEA)
Content Type	Text
Resource Type	Article
Subject	Condensed Matter Physics Electrical and Electronic Engineering

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