Ultra-Wideband and Interleaved Polyfractal Antenna Arrays
Open Access
- Author:
- Petko, Joshua Stanton
- Graduate Program:
- Electrical Engineering
- Degree:
- Doctor of Philosophy
- Document Type:
- Dissertation
- Date of Defense:
- July 17, 2008
- Committee Members:
- Claude W De Pamphilis, Committee Member
John Douglas Mitchell, Committee Member
Ram Mohan Narayanan, Committee Member
Douglas Henry Werner, Committee Chair/Co-Chair - Keywords:
- ultra-wideband
autopolyploidy
genetic algorithm
array
antenna
polyfractal
fractal
multi-beam
interleaved - Abstract:
- Recently, in order to successfully combine the positive attributes of both periodic and random arrays into one design, a novel class of arrays, known as fractal-random arrays, has been introduced. In addition, global optimization techniques, such as genetic algorithms, have been applied to antenna array layouts to provide 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-N arrays, and fractal-random arrays lack the recursive properties needed to reconstruct their geometries exactly from a small set of parameters. To overcome these difficulties, a new class of arrays, called polyfractal arrays, is introduced in this dissertation that possess properties well suited for the optimization of large-N arrays. These polyfractal arrays possesss underlying self-similar properties that can be exploited to exactly reconstruct the array geometries from small sets of parameters and to increase the speed of the associated array factor calculations. In addition, an autopolyploidy-based chromosome expansion native to polyfractal arrays is introduced that can dramatically accelerate the genetic algorithm optimization process. This process allows the genetic algorithm to first evolve simple designs very quickly and then add increasing levels of complexity when they are needed to continue the optimization. The entire procedure has been shown to be very effective in creating optimized large-N antenna layouts. For example a 1616-element linear array can be optimized to possess a -24.30 dB sidelobe level with a 0.0056 degree half-power beamwidth. In addition, robust Pareto optimization techniques can be applied to reduce the peak sidelobe levels at several frequencies specified over a wide bandwidth. This procedure can lead to ultra-wideband antenna array designs, with one example discussed in this dissertation maintaining a -19.34 dB peak sidelobe level with no grating lobes from a range covering 0.5 wavelength to 20.0 wavelength minimum interelement spacings, corresponding to a bandwidth of at least 40:1. These powerful array designs can be utilized as building blocks in robust, multi-beam, ultra-wideband antenna array systems.