TY  - THES
N2  - This project proposes the synthesis of antenna arrays through sparse sub-arrays. An hybrid iterative technique based on particle swarm optimization (PSO) and convex programming (CP) will be implemented: once defined the number of subarrays and the number of elements within them, the PSO algorithm is applied in order to determine the optimized distance between the subarrays; then, the optimal subarray weights are calculated through a CP optimization. These two steps, are then repeated in an iterative procedure.
PB  - University of Trento
A1  - Alborali, E.
A1  - Carellini, M.
M1  - masters
ID  - elediasc1247
TI  - Array antenna synthesis with sparse sub-arrays
AV  - public
UR  - http://www.eledia.org/students-reports/47/
Y1  - 2012///
ER  -