eprintid: 123
rev_number: 15
eprint_status: archive
userid: 4
dir: disk0/00/00/01/23
datestamp: 2013-06-14 08:58:11
lastmod: 2013-11-04 12:30:03
status_changed: 2013-06-14 08:58:11
type: thesis
metadata_visibility: show
creators_name: Longo, R.
title: Sparse Array Synthesis through BCS with Near Field Constraints
ispublished: pub
subjects: TK
full_text_status: public
keywords: DCM
abstract: Applicazioni quali i sistemi per comunicazioni satellitari, per l'imaging biomedicale, per il telerilevamento e la diagnostica elettromagnetica, per il radar e sonar tracking richiedono la realizzazione di array di grandi dimensioni in grado di garantire elevata direttività. L'utilizzo di allineamenti equispaziati in tali applicazioni permetterebbe di raggiungere le prestazioni desiderate, ma con un peso, costo, ingombro e complessità eccessivi. Le tecniche di thinning (assottigliamento) si pongono l'obiettivo di ridurre il numero di elementi radianti in un'antenna ad array, al fine di permettere la realizzazione di array ad elevata direttività con costi e peso ridotti.
In questo ambito, la teoria del Compressive Sampling, recentemente introdotta nell'ambito del signal processing, può rappresentare una metodologia innovativa per la progettazione di sparse arrays. Obiettivo delle tecniche di Compressive Sampling, infatti, è la ricostruzione di segnali incogniti a partire da un numero ridotto di campioni rappresentativi. Una possibile metodologia di progettazione di array lineari che utilizzi tali tecniche si può basare perciò sul seguente approccio:
- scelta del pattern desiderato per l'array (e conseguente scelta dell'eccitazione dell'apertura corrispondente)
- selezione ottimale dei punti di campionamento (spaziale) dell'apertura, mediante Bayesian Compressive Sampling
- calcolo dei coefficienti di eccitazione per ogni punto di campionamento (elemento radiante) mediante Bayesian Compressive Sampling
I vantaggi di tale approccio sarebbero legati alla possibilità di ottenere sottocampionamenti molto significativi dell'apertura (spaziatura molto al di sopra del criterio di Nyquist, cioè Lambda/2) pur ottenendo prestazioni estremamente elevate e senza necessità di alcuna ottimizzazione.
Obiettivo dell'attività è perciò investigare l'applicazione delle tecniche di compressive sampling alla realizzazione di array sparsi lineari con prescritte caratteristiche di radiazione in Near Field e con numero minimo di elementi radianti.

date: 2012
date_type: published
institution: University of Trento
department: ELEDIA Research Center@DISI
thesis_type: masters
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[24]	M. Benedetti, R. Azaro, and A. Massa, "Experimental validation of a fully-adaptive smart antenna prototype," Electronics Letters, vol. 44, no. 11, pp. 661-662, May 2008.
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[26]	M. Donelli, R. Azaro, L. Fimognari, and A. Massa, "A planar electronically reconfigurable Wi-Fi band antenna based on a parasitic microstrip structure," IEEE Antennas Wireless Propag. Lett., vol. 6, pp. 623-626, 2007.
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[32]	L. Poli, P. Rocca, L. Manica, and A. Massa, "Handling sideband radiations in time-modulated arrays through particle swarm optimization," IEEE Trans. Antennas Propag., vol. 58, no. 4, pp. 1408-1411, Apr. 2010.
[33]	P. Rocca, L. Poli, G. Oliveri, and A. Massa, "Adaptive nulling in time-varying scenarios through time-modulated linear arrays," IEEE Antennas Wireless Propag. Lett., vol. 11, pp. 101-104, 2012.
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[36]	L. Poli, P. Rocca, and A. Massa, "Sideband radiation reduction exploiting pattern multiplication in directive time-modulated linear arrays," IET Microwaves, Antennas & Propagation, vol. 6, no. 2, pp. 214-222, 2012.
[37]	L. Poli, P. Rocca, G. Oliveri, and A. Massa, "Adaptive nulling in time-modulated linear arrays with minimum power losses," IET Microwaves, Antennas & Propagation, vol. 5, no. 2, pp. 157-166, 2011.
[38]	L. Poli, P. Rocca, L. Manica, and A. Massa, "Time modulated planar arrays - Analysis and optimization of the sideband radiations," IET Microwaves, Antennas & Propagation, vol. 4, no. 9, pp. 1165-1171, 2010.
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[47]	L. Manica, P. Rocca, A. Martini, and A. Massa, "An innovative approach based on a tree-searching algorithm for the optimal matching of independently optimum sum and difference excitations," IEEE Trans. Antennas Propag., vol. 56, no. 1, pp. 58-66, Jan. 2008.
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citation:   Longo, R.  (2012) Sparse Array Synthesis through BCS with Near Field Constraints.  Masters thesis, University of Trento.   
document_url: http://www.eledia.org/students-reports/123/1/Abstract.A290.pdf