Nested Vector-Sensor Array Processing via Tensor Modeling
We propose a new class of nested vector-sensor arrays which is capable of significantly increasing the degrees of freedom (DOF). This is not a simple extension of the nested scalar-sensor array, but a novel signal model. The structure is obtained by systematically nesting two or more uniform linear...
Uloženo v:
| Vydáno v: | IEEE transactions on signal processing Ročník 62; číslo 10; s. 2542 - 2553 |
|---|---|
| Hlavní autoři: | , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
New York, NY
IEEE
15.05.2014
Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Témata: | |
| ISSN: | 1053-587X, 1941-0476 |
| On-line přístup: | Získat plný text |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
| Abstract | We propose a new class of nested vector-sensor arrays which is capable of significantly increasing the degrees of freedom (DOF). This is not a simple extension of the nested scalar-sensor array, but a novel signal model. The structure is obtained by systematically nesting two or more uniform linear arrays with vector sensors. By using one component's information of the interspectral tensor, which is equivalent to the higher-dimensional second-order statistics of the received data, the proposed nested vector-sensor array can provide O(N 2 ) DOF with only N physical sensors. To utilize the increased DOF, a novel spatial smoothing approach is proposed, which needs multilinear algebra in order to preserve the data structure and avoid reorganization. Thus, the data is stored in a higher-order tensor. Both the signal model of the nested vector-sensor array and the signal processing strategies, which include spatial smoothing, source number detection, and direction of arrival (DOA) estimation, are developed in the multidimensional sense. Based on the analytical results, we consider two main applications: electromagnetic (EM) vector sensors and acoustic vector sensors. The effectiveness of the proposed methods is verified through numerical examples. |
|---|---|
| AbstractList | We propose a new class of nested vector-sensor arrays which is capable of significantly increasing the degrees of freedom (DOF). This is not a simple extension of the nested scalar-sensor array, but a novel signal model. The structure is obtained by systematically nesting two or more uniform linear arrays with vector sensors. By using one component's information of the interspectral tensor, which is equivalent to the higher-dimensional second-order statistics of the received data, the proposed nested vector-sensor array can provide [Formula Omitted] DOF with only [Formula Omitted] physical sensors. To utilize the increased DOF, a novel spatial smoothing approach is proposed, which needs multilinear algebra in order to preserve the data structure and avoid reorganization. Thus, the data is stored in a higher-order tensor. Both the signal model of the nested vector-sensor array and the signal processing strategies, which include spatial smoothing, source number detection, and direction of arrival (DOA) estimation, are developed in the multidimensional sense. Based on the analytical results, we consider two main applications: electromagnetic (EM) vector sensors and acoustic vector sensors. The effectiveness of the proposed methods is verified through numerical examples. We propose a new class of nested vector-sensor arrays which is capable of significantly increasing the degrees of freedom (DOF). This is not a simple extension of the nested scalar-sensor array, but a novel signal model. The structure is obtained by systematically nesting two or more uniform linear arrays with vector sensors. By using one component's information of the interspectral tensor, which is equivalent to the higher-dimensional second-order statistics of the received data, the proposed nested vector-sensor array can provide O openbracket N 2 [ closebracket ] DOF with only N physical sensors. To utilize the increased DOF, a novel spatial smoothing approach is proposed, which needs multilinear algebra in order to preserve the data structure and avoid reorganization. Thus, the data is stored in a higher-order tensor. Both the signal model of the nested vector-sensor array and the signal processing strategies, which include spatial smoothing, source number detection, and direction of arrival (DOA) estimation, are developed in the multidimensional sense. Based on the analytical results, we consider two main applications: electromagnetic (EM) vector sensors and acoustic vector sensors. The effectiveness of the proposed methods is verified through numerical examples. We propose a new class of nested vector-sensor arrays which is capable of significantly increasing the degrees of freedom (DOF). This is not a simple extension of the nested scalar-sensor array, but a novel signal model. The structure is obtained by systematically nesting two or more uniform linear arrays with vector sensors. By using one component's information of the interspectral tensor, which is equivalent to the higher-dimensional second-order statistics of the received data, the proposed nested vector-sensor array can provide O(N 2 ) DOF with only N physical sensors. To utilize the increased DOF, a novel spatial smoothing approach is proposed, which needs multilinear algebra in order to preserve the data structure and avoid reorganization. Thus, the data is stored in a higher-order tensor. Both the signal model of the nested vector-sensor array and the signal processing strategies, which include spatial smoothing, source number detection, and direction of arrival (DOA) estimation, are developed in the multidimensional sense. Based on the analytical results, we consider two main applications: electromagnetic (EM) vector sensors and acoustic vector sensors. The effectiveness of the proposed methods is verified through numerical examples. |
| Author | Keyong Han Nehorai, Arye |
| Author_xml | – sequence: 1 surname: Keyong Han fullname: Keyong Han email: kyhannah@ese.wustl.edu organization: Preston M. Green Dept. of Electr. & Syst. Eng., Washington Univ. in St. Louis, St. Louis, MO, USA – sequence: 2 givenname: Arye surname: Nehorai fullname: Nehorai, Arye email: nehorai@ese.wustl.edu organization: Preston M. Green Dept. of Electr. & Syst. Eng., Washington Univ. in St. Louis, St. Louis, MO, USA |
| BackLink | http://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=28604132$$DView record in Pascal Francis |
| BookMark | eNp9kMtrGzEQxkVJoHndA70slEAv687otdIxhPQBaWOIE3ITsjxbFDarVFoX_N9XxiaHHHKaYeb3zXx8x-xgTCMxdo4wQwT7dXE3n3FAOeMCpRTdB3aEVmILstMHtQclWmW6x4_suJQnqKS0-ojZ31QmWjUPFKaU2zsaS8rNZc5-08xzClRKHP80_6JvFrvdr7Sioc5O2WHvh0Jn-3rC7r9dL65-tDe3339eXd60QSg5tah7CdbbFdcQOHgKGES3NEvZWxQeOKrOcE3KklS4WpIyxoAwYmkNWUvihH3Z3X3J6e-6unXPsQQaBj9SWheHmgNYtEZW9PMb9Cmt81jdOVRaasGNwEpd7Clfgh_67McQi3vJ8dnnjeNGg0TBKwc7LuRUSqb-FUFw28xdzdxtM3f7zKtEv5GEOPkppnHKPg7vCT_thJGIXv_oziBwJf4D_I-NSQ |
| CODEN | ITPRED |
| CitedBy_id | crossref_primary_10_1016_j_sigpro_2022_108706 crossref_primary_10_3390_electronics13091796 crossref_primary_10_1109_TSP_2020_3043814 crossref_primary_10_1109_LSP_2021_3099074 crossref_primary_10_1016_j_sigpro_2023_109235 crossref_primary_10_3390_s18124465 crossref_primary_10_1080_00207217_2018_1477197 crossref_primary_10_1109_TGRS_2023_3274182 crossref_primary_10_1109_TVT_2023_3254606 crossref_primary_10_1049_iet_spr_2018_5512 crossref_primary_10_1007_s00034_021_01748_z crossref_primary_10_1016_j_dsp_2022_103715 crossref_primary_10_1109_ACCESS_2018_2850902 crossref_primary_10_1109_JSEN_2024_3476408 crossref_primary_10_1109_ACCESS_2020_2989525 crossref_primary_10_3390_s17050963 crossref_primary_10_3390_s16122109 crossref_primary_10_1007_s00034_022_02269_z crossref_primary_10_1186_s13638_020_01764_8 crossref_primary_10_3390_s17020412 crossref_primary_10_1049_iet_rsn_2016_0511 crossref_primary_10_1109_TSC_2025_3565382 crossref_primary_10_1016_j_sigpro_2016_12_017 crossref_primary_10_1016_j_sigpro_2016_12_016 crossref_primary_10_1007_s11045_022_00841_z crossref_primary_10_1155_2018_4324902 crossref_primary_10_1109_LSP_2014_2358084 crossref_primary_10_1109_JSEN_2022_3180157 crossref_primary_10_1109_TSP_2023_3260559 crossref_primary_10_1016_j_sigpro_2016_05_033 crossref_primary_10_1007_s11045_022_00832_0 crossref_primary_10_1007_s00034_019_01260_5 crossref_primary_10_1109_LSENS_2018_2808263 crossref_primary_10_1186_s13638_019_1536_8 crossref_primary_10_1109_ACCESS_2019_2949910 crossref_primary_10_1109_LSP_2014_2325000 crossref_primary_10_3390_s18113708 crossref_primary_10_1016_j_sigpro_2020_107630 crossref_primary_10_1007_s11045_016_0434_z crossref_primary_10_1109_ACCESS_2019_2901537 crossref_primary_10_1007_s00034_025_03018_8 crossref_primary_10_1016_j_dsp_2025_105551 crossref_primary_10_1109_LAWP_2017_2665591 crossref_primary_10_1007_s11045_020_00712_5 crossref_primary_10_1016_j_sigpro_2021_108369 crossref_primary_10_1109_ACCESS_2019_2937577 crossref_primary_10_3390_s16020248 crossref_primary_10_1109_ACCESS_2018_2799905 crossref_primary_10_1109_TSP_2018_2824283 crossref_primary_10_1109_JSYST_2021_3134470 crossref_primary_10_1109_TAES_2021_3054056 crossref_primary_10_1109_LSP_2021_3061272 crossref_primary_10_1109_TAP_2015_2477411 crossref_primary_10_1109_TSP_2019_2892021 crossref_primary_10_1109_TAES_2021_3057682 crossref_primary_10_3390_rs16101802 crossref_primary_10_1016_j_dsp_2024_104932 crossref_primary_10_1109_TSP_2016_2626255 crossref_primary_10_1016_j_dsp_2016_04_011 crossref_primary_10_1016_j_dsp_2025_105607 crossref_primary_10_1016_j_dsp_2024_104735 crossref_primary_10_1109_TSP_2023_3320096 crossref_primary_10_1186_s13634_019_0642_4 crossref_primary_10_1016_j_sigpro_2020_107700 crossref_primary_10_1109_ACCESS_2020_3007547 crossref_primary_10_1109_LSP_2022_3191254 crossref_primary_10_1007_s10489_023_04538_z crossref_primary_10_3390_electronics8121557 crossref_primary_10_1109_JSYST_2022_3180394 crossref_primary_10_1109_LSP_2022_3203298 crossref_primary_10_1007_s11045_017_0507_7 crossref_primary_10_1007_s11045_020_00734_z crossref_primary_10_1007_s11277_019_07003_8 crossref_primary_10_1109_ACCESS_2018_2799179 crossref_primary_10_1109_TAES_2020_3034012 crossref_primary_10_1109_TSP_2017_2721904 crossref_primary_10_1049_iet_rsn_2020_0207 crossref_primary_10_1109_JSEN_2019_2905148 crossref_primary_10_1109_TWC_2022_3185175 |
| Cites_doi | 10.1109/5.54811 10.1109/ICASSP.1996.550160 10.1002/0471221104 10.1109/TSP.2008.917356 10.1109/78.875455 10.1155/ASP.2005.74 10.1109/78.790664 10.1109/TSP.2012.2203815 10.1109/78.317869 10.1109/8.233120 10.1007/BF02310791 10.1137/S0895479896305696 10.1109/78.709509 10.1109/TSP.2007.893943 10.1109/TSP.2013.2283462 10.1109/TSP.2011.2135348 10.1109/78.482014 10.1109/48.611148 10.1109/ISAPE.2006.353448 10.1155/S1110865704401097 10.1109/8.884492 10.1109/TSP.2007.910469 10.1109/ISCAS.1997.612845 10.1016/j.sigpro.2004.11.029 10.1109/TSP.2003.811225 10.1109/78.852018 10.1109/LSP.2013.2281514 10.1109/TSP.2010.2049264 10.1109/DSP-SPE.2011.5739227 10.1109/TSP.2008.917929 10.1109/TPAMI.2010.15 10.1186/1687-6180-2011-26 10.1109/78.275610 10.1109/LSP.2010.2060331 10.1137/07070111X 10.1109/TAC.1974.1100705 10.1109/TSP.2012.2203814 10.1016/0165-1684(95)00098-4 |
| ContentType | Journal Article |
| Copyright | 2015 INIST-CNRS Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2014 |
| Copyright_xml | – notice: 2015 INIST-CNRS – notice: Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2014 |
| DBID | 97E RIA RIE AAYXX CITATION IQODW 7SC 7SP 8FD JQ2 L7M L~C L~D F28 FR3 |
| DOI | 10.1109/TSP.2014.2314437 |
| DatabaseName | IEEE All-Society Periodicals Package (ASPP) 2005–Present IEEE All-Society Periodicals Package (ASPP) 1998–Present IEEE Electronic Library (IEL) CrossRef Pascal-Francis Computer and Information Systems Abstracts Electronics & Communications Abstracts Technology Research Database ProQuest Computer Science Collection Advanced Technologies Database with Aerospace Computer and Information Systems Abstracts Academic Computer and Information Systems Abstracts Professional ANTE: Abstracts in New Technology & Engineering Engineering Research Database |
| DatabaseTitle | CrossRef Technology Research Database Computer and Information Systems Abstracts – Academic Electronics & Communications Abstracts ProQuest Computer Science Collection Computer and Information Systems Abstracts Advanced Technologies Database with Aerospace Computer and Information Systems Abstracts Professional Engineering Research Database ANTE: Abstracts in New Technology & Engineering |
| DatabaseTitleList | Technology Research Database Technology Research Database |
| Database_xml | – sequence: 1 dbid: RIE name: IEEE Electronic Library (IEL) url: https://ieeexplore.ieee.org/ sourceTypes: Publisher |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering Applied Sciences |
| EISSN | 1941-0476 |
| EndPage | 2553 |
| ExternalDocumentID | 3442149271 28604132 10_1109_TSP_2014_2314437 6781025 |
| Genre | orig-research |
| GrantInformation_xml | – fundername: AFOSR grantid: FA9550-11-1-0210 – fundername: ONR grantid: N000141310050 |
| GroupedDBID | -~X .DC 0R~ 29I 4.4 5GY 6IK 85S 97E AAJGR AARMG AASAJ AAWTH ABAZT ABQJQ ABVLG ACGFO ACIWK ACNCT AENEX AGQYO AGSQL AHBIQ AJQPL AKQYR ALMA_UNASSIGNED_HOLDINGS ASUFR ATWAV BEFXN BFFAM BGNUA BKEBE BPEOZ CS3 EBS EJD F5P HZ~ IFIPE IPLJI JAVBF LAI MS~ O9- OCL P2P RIA RIE RNS TAE TN5 3EH 53G 5VS AAYXX ABFSI ACKIV AETIX AI. AIBXA AKJIK ALLEH CITATION E.L H~9 ICLAB IFJZH VH1 AAYOK IQODW RIG 7SC 7SP 8FD JQ2 L7M L~C L~D F28 FR3 |
| ID | FETCH-LOGICAL-c354t-16f409a9d260c20aec1c37b8b4f913a02157826e59e451dbe58880383b98e99e3 |
| IEDL.DBID | RIE |
| ISICitedReferencesCount | 103 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000336052300007&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 1053-587X |
| IngestDate | Thu Oct 02 14:06:26 EDT 2025 Mon Jun 30 10:13:10 EDT 2025 Wed Apr 02 07:25:25 EDT 2025 Sat Nov 29 04:10:31 EST 2025 Tue Nov 18 22:26:36 EST 2025 Tue Aug 26 16:50:03 EDT 2025 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 10 |
| Keywords | Performance evaluation Second order Direction-of-arrival estimation Parameter estimation Array signal processing Signal estimation multilinear algebra Modeling Higher order statistic nested array direction of arrival estimation Linear antenna arrays Data structure Signal detection Electromagnetism Acoustic measurement Measurement sensor Order statistic electromagnetic vector sensors source number detection tensor Cross spectral density Statistical method Analytical method Signal processing Numerical simulation Acoustic vector sensors Acoustic sensor Sensor array |
| Language | English |
| License | https://ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html CC BY 4.0 |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c354t-16f409a9d260c20aec1c37b8b4f913a02157826e59e451dbe58880383b98e99e3 |
| Notes | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 ObjectType-Article-1 ObjectType-Feature-2 content type line 23 |
| PQID | 1564632831 |
| PQPubID | 85478 |
| PageCount | 12 |
| ParticipantIDs | crossref_primary_10_1109_TSP_2014_2314437 crossref_citationtrail_10_1109_TSP_2014_2314437 pascalfrancis_primary_28604132 ieee_primary_6781025 proquest_miscellaneous_1620091984 proquest_journals_1564632831 |
| PublicationCentury | 2000 |
| PublicationDate | 2014-05-15 |
| PublicationDateYYYYMMDD | 2014-05-15 |
| PublicationDate_xml | – month: 05 year: 2014 text: 2014-05-15 day: 15 |
| PublicationDecade | 2010 |
| PublicationPlace | New York, NY |
| PublicationPlace_xml | – name: New York, NY – name: New York |
| PublicationTitle | IEEE transactions on signal processing |
| PublicationTitleAbbrev | TSP |
| PublicationYear | 2014 |
| Publisher | IEEE Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher_xml | – name: IEEE – name: Institute of Electrical and Electronics Engineers – name: The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| References | ref35 ref13 ref34 ref12 ref37 ref36 ref14 ref31 ref30 ref33 ref11 de lathauwer (ref17) 1997 ref32 ref10 harshman (ref25) 1970; 16 ref1 ref39 ref38 ref16 miron (ref15) 2005 ref19 ref18 boizard (ref23) 2013 wong (ref2) 2000; 48 ref24 ref26 ref20 ref41 ref21 ref28 ref27 ref8 trees (ref29) 2002 ref7 ref9 ref4 radoi (ref42) 2004 wong (ref3) 1996 he (ref43) 2010; 32 ref6 ref5 ref40 miron (ref22) 2008 |
| References_xml | – ident: ref38 doi: 10.1109/5.54811 – ident: ref6 doi: 10.1109/ICASSP.1996.550160 – year: 2002 ident: ref29 publication-title: Optimum Array Processing Part IV of Detection Estimation and Modulation Theory doi: 10.1002/0471221104 – ident: ref40 doi: 10.1109/TSP.2008.917356 – ident: ref13 doi: 10.1109/78.875455 – start-page: 74 year: 2005 ident: ref15 article-title: Vector-sensor MUSIC for polarized seismic sources localization publication-title: EURASIP J Appl Signal Process doi: 10.1155/ASP.2005.74 – ident: ref5 doi: 10.1109/78.790664 – ident: ref32 doi: 10.1109/TSP.2012.2203815 – ident: ref9 doi: 10.1109/78.317869 – ident: ref4 doi: 10.1109/8.233120 – ident: ref24 doi: 10.1007/BF02310791 – ident: ref26 doi: 10.1137/S0895479896305696 – ident: ref10 doi: 10.1109/78.709509 – ident: ref20 doi: 10.1109/TSP.2007.893943 – ident: ref36 doi: 10.1109/TSP.2013.2283462 – ident: ref34 doi: 10.1109/TSP.2011.2135348 – ident: ref8 doi: 10.1109/78.482014 – ident: ref12 doi: 10.1109/48.611148 – ident: ref28 doi: 10.1109/ISAPE.2006.353448 – start-page: 1177 year: 2004 ident: ref42 article-title: A new method for estimating the number of harmonic components in noise with application in high resolution radar publication-title: EURASIP J Appl Signal Process doi: 10.1155/S1110865704401097 – volume: 48 start-page: 1235 year: 2000 ident: ref2 article-title: Self-initiating music-based direction finding and polarization estimation in spatio-polarizational beamspace publication-title: IEEE Trans Antennas Propag doi: 10.1109/8.884492 – ident: ref21 doi: 10.1109/TSP.2007.910469 – year: 2013 ident: ref23 article-title: Numerical performance of a tensor MUSIC algorithm based on HOSVD for a mixture of polarized sources publication-title: Proc EUSIPCO 2013 – ident: ref11 doi: 10.1109/ISCAS.1997.612845 – ident: ref19 doi: 10.1016/j.sigpro.2004.11.029 – ident: ref14 doi: 10.1109/TSP.2003.811225 – start-page: 1352 year: 1996 ident: ref3 article-title: Diversely polarized root-music for azimuth-elevation angle-of-arrival estimation publication-title: Proc IEEE Antennas Propag Soc Int Symp – ident: ref18 doi: 10.1109/78.852018 – volume: 16 start-page: 1 year: 1970 ident: ref25 article-title: Foundation of the parafac procedure: Model and conditions for an explanatory multi-mode factor analysis publication-title: UCLA Working Papers in Phonetics – ident: ref37 doi: 10.1109/LSP.2013.2281514 – ident: ref30 doi: 10.1109/TSP.2010.2049264 – ident: ref33 doi: 10.1109/DSP-SPE.2011.5739227 – ident: ref27 doi: 10.1109/TSP.2008.917929 – volume: 32 start-page: 2006 year: 2010 ident: ref43 article-title: Detecting the number of clusters in n-way probabilistic clustering publication-title: IEEE Trans Pattern Anal Mach Intell doi: 10.1109/TPAMI.2010.15 – year: 2008 ident: ref22 article-title: DOA estimation for polarized sources on a vector-sensor array by PARAFAC decomposition of the fourth-order covariance tensor publication-title: EUSIPCO 2008 – ident: ref41 doi: 10.1186/1687-6180-2011-26 – ident: ref1 doi: 10.1109/78.275610 – ident: ref35 doi: 10.1109/LSP.2010.2060331 – ident: ref16 doi: 10.1137/07070111X – ident: ref39 doi: 10.1109/TAC.1974.1100705 – ident: ref31 doi: 10.1109/TSP.2012.2203814 – ident: ref7 doi: 10.1016/0165-1684(95)00098-4 – year: 1997 ident: ref17 publication-title: Signal processing based on multilinear algebra |
| SSID | ssj0014496 |
| Score | 2.466375 |
| Snippet | We propose a new class of nested vector-sensor arrays which is capable of significantly increasing the degrees of freedom (DOF). This is not a simple extension... |
| SourceID | proquest pascalfrancis crossref ieee |
| SourceType | Aggregation Database Index Database Enrichment Source Publisher |
| StartPage | 2542 |
| SubjectTerms | Acoustic vector sensors Applied sciences Arrays Detection, estimation, filtering, equalization, prediction Direction-of-arrival estimation electromagnetic vector sensors Estimation Exact sciences and technology Information, signal and communications theory Mathematical analysis Miscellaneous multilinear algebra nested array Preserves Sensor arrays Sensors Signal and communications theory Signal processing Signal, noise source number detection Spatial smoothing Telecommunications and information theory Tensile stress tensor Tensors Vectors Vectors (mathematics) |
| Title | Nested Vector-Sensor Array Processing via Tensor Modeling |
| URI | https://ieeexplore.ieee.org/document/6781025 https://www.proquest.com/docview/1564632831 https://www.proquest.com/docview/1620091984 |
| Volume | 62 |
| WOSCitedRecordID | wos000336052300007&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVIEE databaseName: IEEE Electronic Library (IEL) customDbUrl: eissn: 1941-0476 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0014496 issn: 1053-587X databaseCode: RIE dateStart: 19910101 isFulltext: true titleUrlDefault: https://ieeexplore.ieee.org/ providerName: IEEE |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1La9wwEB6S0EN76CsNdZIGF3opVFnZHsnWsZSGHsoSyDbszegxhkDZDfuC_vuOZK9JaQn0ZtAMFp8eM6N5AXzouuBkF5RQOtQCjUdhpS2FrUvq0ClHqTr_7fd6Om3mc3N9AJ_GXBgiSsFndBk_ky8_LP02PpVN-GJleagO4bCudZ-rNXoMEFMvLlYXKqGaer53SUozmd1cxxguvGRdBjF2PH8gglJPlRgRadcMStd3s_jrYk7S5urF_83zJTwftMr8c78NXsEBLV7Dswe1Bo_BTNPLZn6bnunFDZuvyxVzrOyvfMgWYLp8d2fzWT8W26TFZPU38OPq6-zLNzH0TRC-UrgRhe7YarMmsK3iS2nJF76qXeOwM0Vlo5RnvUCTMoSqCI4Um8GSTVVnGjKGqhM4WiwX9BZyVI0z0nfMKDEg2dIZh1gHrU0g7TOY7KFs_VBUPPa2-Nkm40KalsFvI_jtAH4GH0eO-76gxiO0xxHckW7ANYOLP1ZrHC8bLVkolxmc75evHY7kuo1VcXTF2lSRwftxmA9T9JDYBS23TKOjs6gwDZ7--9dn8DROMIYPFOocjjarLb2DJ363uVuvLtKO_A3OR9z9 |
| linkProvider | IEEE |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3ra9RAEB9qFWw_-KqlqbVG8ItgeptkdpP9KGKpeB6FnuW-hX1MoCB35R4F_3tnN7lQUQS_BXaGLL99zMzOC-Bd23orWi8zqXyVoXaYGWGKzFQFtWilpVid_3pcTSb1bKYvd-DDkAtDRDH4jM7CZ_Tl-4XbhKeyEV-sLA_lA3goEQvRZWsNPgPE2I2LFYYyk3U12zolhR5Nry5DFBeesTaDGHqe3xNCsatKiIk0K4al7fpZ_HE1R3lz_vT_ZvoMnvR6Zfqx2wjPYYfmL2D_XrXBA9CT-LaZXseH-uyKDdjFkjmW5mfa5wswXXp3Y9JpNxYapYV09Zfw_fzz9NNF1ndOyFwpcZ3lqmW7zWjP1oorhCGXu7KytcVW56UJcp41A0VSE8rcW5JsCAs2Vq2uSWsqD2F3vpjTEaQoa6uFa5lRoEcyhdUWsfJKaU_KJTDaQtm4vqx46G7xo4nmhdANg98E8Jse_ATeDxy3XUmNf9AeBHAHuh7XBE5_W61hvKiVYLFcJHCyXb6mP5SrJtTFUSXrU3kCb4dhPk7BR2LmtNgwjQruolzXePz3X7-BxxfTb-Nm_GXy9RXshcmGYIJcnsDuermh1_DI3a1vVsvTuDt_AXVX4EQ |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Nested+Vector-Sensor+Array+Processing+via+Tensor+Modeling&rft.jtitle=IEEE+transactions+on+signal+processing&rft.au=Han%2C+Keyong&rft.au=Nehorai%2C+Arye&rft.date=2014-05-15&rft.issn=1053-587X&rft.eissn=1941-0476&rft.volume=62&rft.issue=10&rft.spage=2542&rft.epage=2553&rft_id=info:doi/10.1109%2FTSP.2014.2314437&rft.externalDBID=n%2Fa&rft.externalDocID=10_1109_TSP_2014_2314437 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1053-587X&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1053-587X&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1053-587X&client=summon |