DocumentCode :
380036
Title :
Matching network design using genetic algorithms for impedance constrained thinned arrays
Author :
Bray, M.G. ; Werner, D.H. ; Boeringer, D.W. ; Machuga, D.W.
Author_Institution :
Dept. of Electr. Eng., Pennsylvania State Univ., University Park, PA, USA
Volume :
1
fYear :
2002
fDate :
2002
Firstpage :
528
Abstract :
This paper investigates a technique for optimizing matching networks for thinned aperiodic dipole arrays to achieve a 2:1 or better VSWR for each antenna element over the entire scan range of the array. The thinned array is optimized via a genetic algorithm to have a suppressed grating lobe over the scan range of the array. In addition, the genetic algorithm places restrictions on the driving point impedance of each element so that they are well behaved during scanning. The impedance constraint allows a three element reactive matching network to be optimized for each element of the array using a separate genetic algorithm.
Keywords :
antenna phased arrays; antenna radiation patterns; dipole antenna arrays; genetic algorithms; impedance matching; scanning antennas; VSWR; antenna element; aperiodic dipole arrays; driving point impedance; genetic algorithms; impedance constrained thinned arrays; matching network design; optimization; scan range; suppressed grating lobe; three element reactive matching network; Algorithm design and analysis; Antenna arrays; Constraint optimization; Convergence; Design optimization; Genetic algorithms; Gratings; Impedance; Sensor arrays; Sensor systems;
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.2002.1016400
Filename :
1016400
Link To Document :
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