TY  - RPRT
A1  - Anselmi, N.
A1  - Rocca, P.
A1  - Salucci, M.
A1  - Massa, A.
AV  - public
UR  - http://www.eledia.org/students-reports/756/
PB  - ELEDIA Research Center - University of Trento
Y1  - 2017///
ID  - elediasc12756
N2  - In this work, the synthesis of large clustered arrays - computationally unaffordable through standard stochastic global optimization techniques - is addressed through an innovative schemata-driven approach. The proposed design methodology is based on the analytic definition of a set of reference tiling arrangements and a customized genetic algorithm (GA)-based strategy which is able to effectively and efficiently explore the solution space of the complete tiling configurations. Some representative numerical experiments are presented in order to verify the effectiveness of the developed synthesis technique for the tiling of large planar phased sub-arrays providing optimal side-lobe level (SLL) radiation performance.
TI  - Efficient Tiling of Large Planar Sub?Arrayed Phased Arrays Through Schemata?Driven Evolutionary Optimization
M1  - technical_report
KW  - Phased Array Antenna
KW  -  Irregular Tiling
KW  -  Enumerative Tiling
KW  -  Optimization
KW  -  Genetic Algorithm
KW  -  Schemata
ER  -