Loading…
MUSIC Algorithm for Near Field Point-like Scatterers' Localization
The problem of localizing point-like scatterers in near-field configuration is addressed. In particular, MUSIC algorithm is applied in this particular scenario. The scatterers are assumed to be illuminated by an unknown incident field and the scattering coefficients turn to be correlated. Accordingl...
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 | 4 |
container_issue | |
container_start_page | 1 |
container_title | |
container_volume | |
creator | Dell'Aversano, Angela Cuccaro, Antonio Maisto, Maria Antonia |
description | The problem of localizing point-like scatterers in near-field configuration is addressed. In particular, MUSIC algorithm is applied in this particular scenario. The scatterers are assumed to be illuminated by an unknown incident field and the scattering coefficients turn to be correlated. Accordingly, the correlation matrix is rank deficient. In order to cope with this drawback, we propose and numerically check a rank restoring procedure tailored for near-field configurations. |
doi_str_mv | 10.1109/CAMA56352.2022.10002658 |
format | conference_proceeding |
fullrecord | <record><control><sourceid>ieee_CHZPO</sourceid><recordid>TN_cdi_ieee_primary_10002658</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>10002658</ieee_id><sourcerecordid>10002658</sourcerecordid><originalsourceid>FETCH-LOGICAL-i499-ba6345f84f2a6f42a2141c230edbf2e6788582a6b08b4a06804f78cd776c60143</originalsourceid><addsrcrecordid>eNo1j0FLwzAYhqMgOOf-gWBunjq_fEm-pMdanA46FTbPI20TjXarpL24X-9APb2H5-GBl7FrAXMhIL8ti1WhSWqcIyDOBQAgaXvCLgSRVjlII0_ZBEnJjEyuz9lsGD6OlkSQWooJu1u9rpclL7q3PsXxfcdDn_iTd4kvou9a_tLH_Zh18dPzdePG0Sefhhte9Y3r4sGNsd9fsrPgusHP_nbKNov7TfmYVc8Py7KosqjyPKsdSaWDVQEdBYUOhRINSvBtHdCTsVbbI6rB1soBWVDB2KY1hhoCoeSUXf1mo_d--5XizqXv7f9l-QPGjklt</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>MUSIC Algorithm for Near Field Point-like Scatterers' Localization</title><source>IEEE Xplore All Conference Series</source><creator>Dell'Aversano, Angela ; Cuccaro, Antonio ; Maisto, Maria Antonia</creator><creatorcontrib>Dell'Aversano, Angela ; Cuccaro, Antonio ; Maisto, Maria Antonia</creatorcontrib><description>The problem of localizing point-like scatterers in near-field configuration is addressed. In particular, MUSIC algorithm is applied in this particular scenario. The scatterers are assumed to be illuminated by an unknown incident field and the scattering coefficients turn to be correlated. Accordingly, the correlation matrix is rank deficient. In order to cope with this drawback, we propose and numerically check a rank restoring procedure tailored for near-field configurations.</description><identifier>EISSN: 2643-6795</identifier><identifier>EISBN: 1665490373</identifier><identifier>EISBN: 9781665490375</identifier><identifier>DOI: 10.1109/CAMA56352.2022.10002658</identifier><language>eng</language><publisher>IEEE</publisher><subject>Antenna measurements ; Correlation ; decorrelation method ; Location awareness ; Multiple signal classification ; MUSIC ; near-field ; Point-like scatterers ; rank recovery ; Scattering</subject><ispartof>2022 IEEE Conference on Antenna Measurements and Applications (CAMA), 2022, p.1-4</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/10002658$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>310,311,783,787,792,793,23942,23943,25152,27937,54883,55260</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/10002658$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Dell'Aversano, Angela</creatorcontrib><creatorcontrib>Cuccaro, Antonio</creatorcontrib><creatorcontrib>Maisto, Maria Antonia</creatorcontrib><title>MUSIC Algorithm for Near Field Point-like Scatterers' Localization</title><title>2022 IEEE Conference on Antenna Measurements and Applications (CAMA)</title><addtitle>CAMA</addtitle><description>The problem of localizing point-like scatterers in near-field configuration is addressed. In particular, MUSIC algorithm is applied in this particular scenario. The scatterers are assumed to be illuminated by an unknown incident field and the scattering coefficients turn to be correlated. Accordingly, the correlation matrix is rank deficient. In order to cope with this drawback, we propose and numerically check a rank restoring procedure tailored for near-field configurations.</description><subject>Antenna measurements</subject><subject>Correlation</subject><subject>decorrelation method</subject><subject>Location awareness</subject><subject>Multiple signal classification</subject><subject>MUSIC</subject><subject>near-field</subject><subject>Point-like scatterers</subject><subject>rank recovery</subject><subject>Scattering</subject><issn>2643-6795</issn><isbn>1665490373</isbn><isbn>9781665490375</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2022</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNo1j0FLwzAYhqMgOOf-gWBunjq_fEm-pMdanA46FTbPI20TjXarpL24X-9APb2H5-GBl7FrAXMhIL8ti1WhSWqcIyDOBQAgaXvCLgSRVjlII0_ZBEnJjEyuz9lsGD6OlkSQWooJu1u9rpclL7q3PsXxfcdDn_iTd4kvou9a_tLH_Zh18dPzdePG0Sefhhte9Y3r4sGNsd9fsrPgusHP_nbKNov7TfmYVc8Py7KosqjyPKsdSaWDVQEdBYUOhRINSvBtHdCTsVbbI6rB1soBWVDB2KY1hhoCoeSUXf1mo_d--5XizqXv7f9l-QPGjklt</recordid><startdate>20221214</startdate><enddate>20221214</enddate><creator>Dell'Aversano, Angela</creator><creator>Cuccaro, Antonio</creator><creator>Maisto, Maria Antonia</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>20221214</creationdate><title>MUSIC Algorithm for Near Field Point-like Scatterers' Localization</title><author>Dell'Aversano, Angela ; Cuccaro, Antonio ; Maisto, Maria Antonia</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i499-ba6345f84f2a6f42a2141c230edbf2e6788582a6b08b4a06804f78cd776c60143</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Antenna measurements</topic><topic>Correlation</topic><topic>decorrelation method</topic><topic>Location awareness</topic><topic>Multiple signal classification</topic><topic>MUSIC</topic><topic>near-field</topic><topic>Point-like scatterers</topic><topic>rank recovery</topic><topic>Scattering</topic><toplevel>online_resources</toplevel><creatorcontrib>Dell'Aversano, Angela</creatorcontrib><creatorcontrib>Cuccaro, Antonio</creatorcontrib><creatorcontrib>Maisto, Maria Antonia</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 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>Dell'Aversano, Angela</au><au>Cuccaro, Antonio</au><au>Maisto, Maria Antonia</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>MUSIC Algorithm for Near Field Point-like Scatterers' Localization</atitle><btitle>2022 IEEE Conference on Antenna Measurements and Applications (CAMA)</btitle><stitle>CAMA</stitle><date>2022-12-14</date><risdate>2022</risdate><spage>1</spage><epage>4</epage><pages>1-4</pages><eissn>2643-6795</eissn><eisbn>1665490373</eisbn><eisbn>9781665490375</eisbn><abstract>The problem of localizing point-like scatterers in near-field configuration is addressed. In particular, MUSIC algorithm is applied in this particular scenario. The scatterers are assumed to be illuminated by an unknown incident field and the scattering coefficients turn to be correlated. Accordingly, the correlation matrix is rank deficient. In order to cope with this drawback, we propose and numerically check a rank restoring procedure tailored for near-field configurations.</abstract><pub>IEEE</pub><doi>10.1109/CAMA56352.2022.10002658</doi><tpages>4</tpages></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | EISSN: 2643-6795 |
ispartof | 2022 IEEE Conference on Antenna Measurements and Applications (CAMA), 2022, p.1-4 |
issn | 2643-6795 |
language | eng |
recordid | cdi_ieee_primary_10002658 |
source | IEEE Xplore All Conference Series |
subjects | Antenna measurements Correlation decorrelation method Location awareness Multiple signal classification MUSIC near-field Point-like scatterers rank recovery Scattering |
title | MUSIC Algorithm for Near Field Point-like Scatterers' Localization |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-11-13T22%3A23%3A54IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_CHZPO&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=MUSIC%20Algorithm%20for%20Near%20Field%20Point-like%20Scatterers'%20Localization&rft.btitle=2022%20IEEE%20Conference%20on%20Antenna%20Measurements%20and%20Applications%20(CAMA)&rft.au=Dell'Aversano,%20Angela&rft.date=2022-12-14&rft.spage=1&rft.epage=4&rft.pages=1-4&rft.eissn=2643-6795&rft_id=info:doi/10.1109/CAMA56352.2022.10002658&rft.eisbn=1665490373&rft.eisbn_list=9781665490375&rft_dat=%3Cieee_CHZPO%3E10002658%3C/ieee_CHZPO%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-i499-ba6345f84f2a6f42a2141c230edbf2e6788582a6b08b4a06804f78cd776c60143%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=10002658&rfr_iscdi=true |