DocumentCode :
1939820
Title :
Genetic optimization of fractal dipole antenna arrays for compact size and improved impedance performance over scan angle
Author :
Mummareddy, Satish ; Werner, D.H. ; Werner, P.L.
Author_Institution :
Dept. of Electr. Eng., Pennsylvania State Univ., University Park, PA, USA
Volume :
4
fYear :
2002
fDate :
2002
Firstpage :
98
Abstract :
The driving-point impedance of an array element is a function of the self-impedance of the element, the mutual impedances from other array elements, and the array excitation currents. As the beam is steered in a phased array, the driving-point impedances of the array elements vary with scan angle. This presents a challenging problem in the design of practical phased array systems, especially when considering compact array configurations. The paper introduces a novel approach to the design optimization of compact phased arrays. The new technique introduces fractal dipoles as array elements and uses a genetic algorithm to optimize the shape of each individual fractal element (for self-impedance control) as well as the spacing between these elements (for mutual impedance control) in order to obtain compact array configurations with improved driving-point impedance versus scan angle performance.
Keywords :
antenna phased arrays; dipole antenna arrays; electric current; electric impedance; fractals; genetic algorithms; linear antenna arrays; scanning antennas; array excitation currents; beamsteering; dipole antenna arrays; driving-point impedance; fractal antenna; fractal dipoles; genetic algorithm; linear antenna arrays; optimization; phased array; scan angle; Antenna arrays; Biological cells; Dipole antennas; Fractals; Genetic algorithms; Genetic engineering; Impedance; Mutual coupling; Phased arrays; Shape control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Antennas and Propagation Society International Symposium, 2002. IEEE
Print_ISBN :
0-7803-7330-8
Type :
conf
DOI :
10.1109/APS.2002.1016935
Filename :
1016935
Link To Document :
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