TY  - RPRT
N2  - This work presents an innovative hybrid approach for synthesizing thinned planar phased arrays. The a-priori information provided  by analytical almost difference sets (ADSs) is profitably exploited by a customized stochastic optimization approach based on genetic algorithms (GAs). Such an ADSGA approach is able to overcome the current limitations of state-of-the-art techniques based on ADSs. Some numerical results are shown in order to assess the potentialities, as well as the limitations, of the proposed design methodology.
UR  - http://www.eledia.org/students-reports/770/
M1  - technical_report
Y1  - 2018///
KW  - Planar Arrays Thinning
KW  -  Almost Difference Sets
KW  -  Genetic Algorithms
KW  -  Array Synthesis
A1  - Salucci, M.
A1  - Gottardi, G.
A1  - Anselmi, N.
A1  - Oliveri, G.
PB  - ELEDIA Research Center - University of Trento
ID  - elediasc12770
TI  - ADS?Guided Design of Planar Thinned Phased Arrays Through Genetic Optimization
AV  - public
ER  -