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.
Memory Enhanced PSO-Based Optimization Approach for Smart Antennas Control in Complex Interference Scenario / Benedetti, Manuel; Azaro, Renzo; Massa, Andrea. - ELETTRONICO. - (2007), pp. 1-39.
Memory Enhanced PSO-Based Optimization Approach for Smart Antennas Control in Complex Interference Scenario
Benedetti, Manuel;Azaro, Renzo;Massa, Andrea
2007-01-01
Abstract
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.File | Dimensione | Formato | |
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