eprintid: 332
rev_number: 6
eprint_status: archive
userid: 5
dir: disk0/00/00/03/32
datestamp: 2007-09-07
lastmod: 2013-07-02 11:23:05
status_changed: 2013-07-02 11:23:05
type: techreport
metadata_visibility: show
item_issues_count: 0
creators_name: Benedetti, Manuel
creators_name: Azaro, Renzo
creators_name: Massa, Andrea
title: Memory Enhanced PSO-Based Optimization Approach for Smart Antennas Control in Complex Interference Scenario
ispublished: inpress
subjects: TU
full_text_status: public
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.
date: 2007-08
date_type: published
institution: University of Trento
department: informaticat
refereed: FALSE
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citation:   Benedetti, Manuel and Azaro, Renzo and Massa, Andrea  (2007) Memory Enhanced PSO-Based Optimization Approach for Smart Antennas Control in Complex Interference Scenario.  [Technical Report]    (In Press)  
document_url: http://www.eledia.org/students-reports/332/1/DIT-07-051.pdf