TY  - INPR
A1  - Benedetti, Manuel
A1  - Azaro, Renzo
A1  - Massa, Andrea
ID  - elediasc12332
AV  - public
Y1  - 2007/08//
UR  - http://www.eledia.org/students-reports/332/
TI  - Memory Enhanced PSO-Based Optimization Approach for Smart Antennas Control in Complex Interference Scenario
N2  - In the framework of control methods for adaptive phased-arrays, this paper deals with complex communication scenarios by considering a memory-enhanced cooperative algorithm. Compared to existing approaches where far-field interferences are taken into account, the proposed analysis considers a more realistic situation where the jamming sources are located either in the near-field or in the far-field of the receiving antenna. In order to carefully address the arising challenges and to effectively deal with such complex environments, an optimization approach based on an enhanced PSO-based algorithm is used. The obtained results seem to confirm the effectiveness of the proposed technique in terms of both signal-to-noise ratio and computational costs and complexity.
ER  -