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Genetic‐algorithm‐based design of a reconfigurable antenna array with discrete phase shifters
Author(s) -
Baskar S.,
Alphones A.,
Suganthan P. N.
Publication year - 2005
Publication title -
microwave and optical technology letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.304
H-Index - 76
eISSN - 1098-2760
pISSN - 0895-2477
DOI - 10.1002/mop.20853
Subject(s) - quantization (signal processing) , genetic algorithm , realization (probability) , microwave , electronic engineering , antenna array , algorithm , antenna (radio) , optimal design , phase shift module , topology (electrical circuits) , engineering , computer science , mathematics , electrical engineering , mathematical optimization , telecommunications , statistics , machine learning
In this paper, we propose a novel mixed‐integer optimization formulation for the optimal design of a reconfigurable antenna array with quantized phase excitations, which is solved by using the generalized generation gap (G3) model genetic algorithm (GA). To reduce effect of mutual coupling between the antenna‐array elements, the amplitude excitations' dynamic‐range ratio is minimized. The simulation experiments* clearly show an improved performance of the discrete realization of the phase‐excitation values, as compared to the continuous realization and subsequent quantization. The effect of quantization on the continuous formulation of phase excitations is also demonstrated. The proposed mixed‐integer formulation can be used in practice for the optimal design of dual‐beam antenna arrays. © 2005 Wiley Periodicals, Inc. Microwave Opt Technol Lett 45: 461–465, 2005; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.20853