Loading…
Advances in subspace eigenanalysis based algorithms: from 1D toward 3D superresolution techniques
An overview of two superresolution methods, MUSIC and ESPRIT, for the ID case is firstly given. Afterwards, an extension of these algorithms to the three-dimensional case is proposed. New formulations for the signal model, data resampling, spatial smoothing method and estimate expression are provide...
Saved in:
Main Authors: | , |
---|---|
Format: | Conference Proceeding |
Language: | English |
Subjects: | |
Online Access: | Request full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | |
---|---|
cites | |
container_end_page | 554 vol.2 |
container_issue | |
container_start_page | 547 |
container_title | |
container_volume | 2 |
creator | Dobre, O.A. Radoi, E. |
description | An overview of two superresolution methods, MUSIC and ESPRIT, for the ID case is firstly given. Afterwards, an extension of these algorithms to the three-dimensional case is proposed. New formulations for the signal model, data resampling, spatial smoothing method and estimate expression are provided. Although many applications can be considered in the areas of radar and wireless communications, only one of them is detailed: high-resolution radar target imaging. The concluding remarks drawn in the final part of the paper are supported by simulation results performed on synthetic signals and by comparing the proposed methods to the scattering center extraction technique using the Fourier transform. |
doi_str_mv | 10.1109/TELSKS.2001.955836 |
format | conference_proceeding |
fullrecord | <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_955836</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>955836</ieee_id><sourcerecordid>955836</sourcerecordid><originalsourceid>FETCH-LOGICAL-i174t-8bd2b74615de609e335eb36bb7c8c6bacbba90c75359d91edd3f998fb3918c643</originalsourceid><addsrcrecordid>eNotkMtOwzAURC0hJKD0B7ryDyTYubETs6va8hCRWLRI7Co_blqjvLATUP-eSmU2szlzFkPIgrOUc6Yedptq-7ZNM8Z4qoQoQV6RO1aUDIosKz9vyDzGL3ZOnoOE_JbopfvRncVIfUfjZOKgLVL0B-x0p5tT9JEaHdFR3Rz64MdjGx9pHfqW8jUd-18dHIX1eTpgCBj7Zhp939ER7bHz3xPGe3Jd6ybi_L9n5ONps1u9JNX78-tqWSWeF_mYlMZlpsglFw4lUwgg0IA0prCllUZbY7RithAglFMcnYNaqbI2oPgZyGFGFhevR8T9EHyrw2l_OQH-AFQ3VUY</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Advances in subspace eigenanalysis based algorithms: from 1D toward 3D superresolution techniques</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Dobre, O.A. ; Radoi, E.</creator><creatorcontrib>Dobre, O.A. ; Radoi, E.</creatorcontrib><description>An overview of two superresolution methods, MUSIC and ESPRIT, for the ID case is firstly given. Afterwards, an extension of these algorithms to the three-dimensional case is proposed. New formulations for the signal model, data resampling, spatial smoothing method and estimate expression are provided. Although many applications can be considered in the areas of radar and wireless communications, only one of them is detailed: high-resolution radar target imaging. The concluding remarks drawn in the final part of the paper are supported by simulation results performed on synthetic signals and by comparing the proposed methods to the scattering center extraction technique using the Fourier transform.</description><identifier>ISBN: 078037228X</identifier><identifier>ISBN: 9780780372283</identifier><identifier>DOI: 10.1109/TELSKS.2001.955836</identifier><language>eng</language><publisher>IEEE</publisher><subject>Fourier transforms ; High-resolution imaging ; Multiple signal classification ; Radar applications ; Radar imaging ; Radar scattering ; Signal resolution ; Smoothing methods ; Spatial resolution ; Wireless communication</subject><ispartof>5th International Conference on Telecommunications in Modern Satellite, Cable and Broadcasting Service. TELSIKS 2001. Proceedings of Papers (Cat. No.01EX517), 2001, Vol.2, p.547-554 vol.2</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/955836$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2056,4047,4048,27923,54918</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/955836$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Dobre, O.A.</creatorcontrib><creatorcontrib>Radoi, E.</creatorcontrib><title>Advances in subspace eigenanalysis based algorithms: from 1D toward 3D superresolution techniques</title><title>5th International Conference on Telecommunications in Modern Satellite, Cable and Broadcasting Service. TELSIKS 2001. Proceedings of Papers (Cat. No.01EX517)</title><addtitle>TELSKS</addtitle><description>An overview of two superresolution methods, MUSIC and ESPRIT, for the ID case is firstly given. Afterwards, an extension of these algorithms to the three-dimensional case is proposed. New formulations for the signal model, data resampling, spatial smoothing method and estimate expression are provided. Although many applications can be considered in the areas of radar and wireless communications, only one of them is detailed: high-resolution radar target imaging. The concluding remarks drawn in the final part of the paper are supported by simulation results performed on synthetic signals and by comparing the proposed methods to the scattering center extraction technique using the Fourier transform.</description><subject>Fourier transforms</subject><subject>High-resolution imaging</subject><subject>Multiple signal classification</subject><subject>Radar applications</subject><subject>Radar imaging</subject><subject>Radar scattering</subject><subject>Signal resolution</subject><subject>Smoothing methods</subject><subject>Spatial resolution</subject><subject>Wireless communication</subject><isbn>078037228X</isbn><isbn>9780780372283</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2001</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotkMtOwzAURC0hJKD0B7ryDyTYubETs6va8hCRWLRI7Co_blqjvLATUP-eSmU2szlzFkPIgrOUc6Yedptq-7ZNM8Z4qoQoQV6RO1aUDIosKz9vyDzGL3ZOnoOE_JbopfvRncVIfUfjZOKgLVL0B-x0p5tT9JEaHdFR3Rz64MdjGx9pHfqW8jUd-18dHIX1eTpgCBj7Zhp939ER7bHz3xPGe3Jd6ybi_L9n5ONps1u9JNX78-tqWSWeF_mYlMZlpsglFw4lUwgg0IA0prCllUZbY7RithAglFMcnYNaqbI2oPgZyGFGFhevR8T9EHyrw2l_OQH-AFQ3VUY</recordid><startdate>2001</startdate><enddate>2001</enddate><creator>Dobre, O.A.</creator><creator>Radoi, E.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>2001</creationdate><title>Advances in subspace eigenanalysis based algorithms: from 1D toward 3D superresolution techniques</title><author>Dobre, O.A. ; Radoi, E.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i174t-8bd2b74615de609e335eb36bb7c8c6bacbba90c75359d91edd3f998fb3918c643</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2001</creationdate><topic>Fourier transforms</topic><topic>High-resolution imaging</topic><topic>Multiple signal classification</topic><topic>Radar applications</topic><topic>Radar imaging</topic><topic>Radar scattering</topic><topic>Signal resolution</topic><topic>Smoothing methods</topic><topic>Spatial resolution</topic><topic>Wireless communication</topic><toplevel>online_resources</toplevel><creatorcontrib>Dobre, O.A.</creatorcontrib><creatorcontrib>Radoi, E.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE/IET Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Dobre, O.A.</au><au>Radoi, E.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Advances in subspace eigenanalysis based algorithms: from 1D toward 3D superresolution techniques</atitle><btitle>5th International Conference on Telecommunications in Modern Satellite, Cable and Broadcasting Service. TELSIKS 2001. Proceedings of Papers (Cat. No.01EX517)</btitle><stitle>TELSKS</stitle><date>2001</date><risdate>2001</risdate><volume>2</volume><spage>547</spage><epage>554 vol.2</epage><pages>547-554 vol.2</pages><isbn>078037228X</isbn><isbn>9780780372283</isbn><abstract>An overview of two superresolution methods, MUSIC and ESPRIT, for the ID case is firstly given. Afterwards, an extension of these algorithms to the three-dimensional case is proposed. New formulations for the signal model, data resampling, spatial smoothing method and estimate expression are provided. Although many applications can be considered in the areas of radar and wireless communications, only one of them is detailed: high-resolution radar target imaging. The concluding remarks drawn in the final part of the paper are supported by simulation results performed on synthetic signals and by comparing the proposed methods to the scattering center extraction technique using the Fourier transform.</abstract><pub>IEEE</pub><doi>10.1109/TELSKS.2001.955836</doi></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | ISBN: 078037228X |
ispartof | 5th International Conference on Telecommunications in Modern Satellite, Cable and Broadcasting Service. TELSIKS 2001. Proceedings of Papers (Cat. No.01EX517), 2001, Vol.2, p.547-554 vol.2 |
issn | |
language | eng |
recordid | cdi_ieee_primary_955836 |
source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Fourier transforms High-resolution imaging Multiple signal classification Radar applications Radar imaging Radar scattering Signal resolution Smoothing methods Spatial resolution Wireless communication |
title | Advances in subspace eigenanalysis based algorithms: from 1D toward 3D superresolution techniques |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-14T10%3A10%3A39IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Advances%20in%20subspace%20eigenanalysis%20based%20algorithms:%20from%201D%20toward%203D%20superresolution%20techniques&rft.btitle=5th%20International%20Conference%20on%20Telecommunications%20in%20Modern%20Satellite,%20Cable%20and%20Broadcasting%20Service.%20TELSIKS%202001.%20Proceedings%20of%20Papers%20(Cat.%20No.01EX517)&rft.au=Dobre,%20O.A.&rft.date=2001&rft.volume=2&rft.spage=547&rft.epage=554%20vol.2&rft.pages=547-554%20vol.2&rft.isbn=078037228X&rft.isbn_list=9780780372283&rft_id=info:doi/10.1109/TELSKS.2001.955836&rft_dat=%3Cieee_6IE%3E955836%3C/ieee_6IE%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-i174t-8bd2b74615de609e335eb36bb7c8c6bacbba90c75359d91edd3f998fb3918c643%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=955836&rfr_iscdi=true |