eprintid: 389
rev_number: 5
eprint_status: archive
userid: 5
dir: disk0/00/00/03/89
datestamp: 2011-03-25
lastmod: 2013-07-04 11:23:21
status_changed: 2013-07-04 11:23:21
type: techreport
metadata_visibility: show
item_issues_count: 0
creators_name: Donelli, Massimo
creators_name: Viani, Federico
creators_name: Rocca, Paolo
creators_name: Massa, Andrea
title: An Innovative Multi-Resolution Approach for DOA Estimation based on a Support Vector Classification
ispublished: pub
subjects: TU
full_text_status: public
keywords: Planar Arrays, DOA Estimation, Classification, Multi-Resolution, Support Vector Machine
abstract: The knowledge of the directions of arrival (DOAs) of the signals impinging on an antenna receiver enables the use of adaptive control algorithm suitable for limiting the effects of interferences and increasing the gain towards the desired signals in order to improve the performances of wireless communication systems. In this paper, an innovative multiresolution approach for the real-time DOA estimation of multiple signals impinging on a planar array is presented. The method is based on a support vector classifier and it exploits a multi-scaling procedure to enhance the angular resolution of the detection process in the regions of incidence of the incoming waves. The data acquired from the array sensors are iteratively processed with a support vector machine (SVM) customized to the problem at hand. The final result is the definition of a map of the probability that a signal impinges on the antenna from a fixed angular direction. Selected numerical results, concerned with both single and multiple signals, are provided to assess potentialities and current limitations of the proposed approach. (c) 2009 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
date: 2009-08
date_type: published
institution: University of Trento
department: informaticat
refereed: TRUE
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citation:   Donelli, Massimo and Viani, Federico and Rocca, Paolo and Massa, Andrea  (2009) An Innovative Multi-Resolution Approach for DOA Estimation based on a Support Vector Classification.  [Technical Report]     
document_url: http://www.eledia.org/students-reports/389/1/DISI-11-027.R170.pdf