Compressive Sampling Framework for 2D-DOA and Polarization Estimation in mmWave Polarized Massive MIMO Systems
The polarized massive multiple-input multiple-output (MIMO) technique has been regarded as a promising solution to millimeter wave (mmWave) communication systems, because it experiences more degrees-of-freedom than the scalar configuration, and it represents a significant opportunity for secure comm...
Saved in:
| Published in | IEEE transactions on wireless communications Vol. 22; no. 5; p. 1 |
|---|---|
| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
New York
IEEE
01.05.2023
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1536-1276 1558-2248 |
| DOI | 10.1109/TWC.2022.3215965 |
Cover
| Abstract | The polarized massive multiple-input multiple-output (MIMO) technique has been regarded as a promising solution to millimeter wave (mmWave) communication systems, because it experiences more degrees-of-freedom than the scalar configuration, and it represents a significant opportunity for secure communication. To deliver smart service to terminals, it is essential to provide base stations (BS) with the capability of terminal's direction-of-arrival (DOA) awareness. In this paper, a compressive sampling (CS) framework is proposed for two-dimensional (2D) DOA and polarization estimation in mmWave polarized massive MIMO systems. The proposed approach first reduces the data volume via a reduced-dimension matrix. Then it computes the signal subspace via the eigendecomposition of the compressed array measurement. Thereafter, the rotational invariance characteristic is utilized to form a normalized polarization steering vector. Finally, 2D-DOA and polarization are estimated by incorporating the Poynting vector and the least squares (LS) techniques. The proposed architecture is computationally much more economical than existing algorithms. Besides, it allows a mmWave BS to provide comparable estimation performance with arbitrary sensor geometry, which is more flexible than most of the existing architectures. Furthermore, it is robust to the sensor position error. Numerical simulations verify the advantages of the proposed framework. |
|---|---|
| AbstractList | The polarized massive multiple-input multiple-output (MIMO) technique has been regarded as a promising solution to millimeter wave (mmWave) communication systems, because it experiences more degrees-of-freedom than the scalar configuration, and it represents a significant opportunity for secure communication. To deliver smart service to terminals, it is essential to provide base stations (BS) with the capability of terminal's direction-of-arrival (DOA) awareness. In this paper, a compressive sampling (CS) framework is proposed for two-dimensional (2D) DOA and polarization estimation in mmWave polarized massive MIMO systems. The proposed approach first reduces the data volume via a reduced-dimension matrix. Then it computes the signal subspace via the eigendecomposition of the compressed array measurement. Thereafter, the rotational invariance characteristic is utilized to form a normalized polarization steering vector. Finally, 2D-DOA and polarization are estimated by incorporating the Poynting vector and the least squares (LS) techniques. The proposed architecture is computationally much more economical than existing algorithms. Besides, it allows a mmWave BS to provide comparable estimation performance with arbitrary sensor geometry, which is more flexible than most of the existing architectures. Furthermore, it is robust to the sensor position error. Numerical simulations verify the advantages of the proposed framework. |
| Author | Gacanin, Haris Wen, Fangqing Sari, Hikmet Gui, Guan |
| Author_xml | – sequence: 1 givenname: Fangqing orcidid: 0000-0001-6527-4326 surname: Wen fullname: Wen, Fangqing organization: College of Computer and Information Technology, Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, China Three Gorges University, Yichang, China – sequence: 2 givenname: Guan orcidid: 0000-0003-3888-2881 surname: Gui fullname: Gui, Guan organization: College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China – sequence: 3 givenname: Haris orcidid: 0000-0003-3168-8883 surname: Gacanin fullname: Gacanin, Haris organization: Faculty of Electrical Engineering and Information Technology, RWTH Aachen University, Aachen, Germany – sequence: 4 givenname: Hikmet surname: Sari fullname: Sari, Hikmet organization: College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China |
| BookMark | eNp9kMFPwjAUhxuDiYDeTbw08TxsX9d1O5IBSgLBBAzHpWydKW7rbIcG_3qHIx48eHrv8P1-L-8boF5lKoXQLSUjSkn0sNnGIyAAIwaURwG_QH3KeegB-GHvtLPAoyCCKzRwbk8IFQHnfVTFpqytck5_KLyWZV3o6hXPrCzVp7FvODcWw8SbrMZYVhl-NoW0-ks22lR46hpddquucFluZdtxJlSGl7JrXc6XK7w-ukaV7hpd5rJw6uY8h-hlNt3ET95i9TiPxwsvhYg2nsy5DCj3iRSKAs9FykCC2lFBeMDyMGx_9DPYMeED24EUQSRSlUeUsCwiFNgQ3Xe9tTXvB-WaZG8OtmpPJhBSKhgQwloq6KjUGuesypNUNz8PNVbqIqEkOblNWrfJyW1ydtsGyZ9gbVsV9vhf5K6LaKXULx5FzG8p9g0feoVX |
| CODEN | ITWCAX |
| CitedBy_id | crossref_primary_10_1007_s11760_024_03041_3 crossref_primary_10_1109_OJSP_2023_3278593 crossref_primary_10_1109_JSTARS_2024_3358544 crossref_primary_10_3390_electronics12020343 crossref_primary_10_1109_MAES_2024_3383820 crossref_primary_10_1109_LCOMM_2023_3330260 crossref_primary_10_3390_rs15215231 crossref_primary_10_1016_j_sigpro_2023_109119 crossref_primary_10_3390_rs16163004 crossref_primary_10_1109_LSP_2023_3282815 crossref_primary_10_3390_s22228633 crossref_primary_10_1109_TSP_2024_3452239 crossref_primary_10_1155_2024_9936133 crossref_primary_10_1007_s00034_023_02414_2 crossref_primary_10_1016_j_dsp_2024_104514 crossref_primary_10_3390_rs15133308 crossref_primary_10_3390_electronics12173575 crossref_primary_10_1007_s11277_024_10969_9 crossref_primary_10_1109_TVT_2023_3266106 crossref_primary_10_1109_TAES_2023_3303857 crossref_primary_10_3390_math12101515 crossref_primary_10_1016_j_sigpro_2023_109245 crossref_primary_10_1007_s00034_023_02537_6 crossref_primary_10_3390_rs15204953 crossref_primary_10_1109_TAES_2023_3312359 crossref_primary_10_1109_TAES_2023_3337216 crossref_primary_10_3390_rs15194791 crossref_primary_10_1109_ACCESS_2023_3291342 crossref_primary_10_1007_s00034_025_03018_8 crossref_primary_10_1109_TAES_2024_3405450 crossref_primary_10_1016_j_aeue_2024_155132 crossref_primary_10_1109_LSP_2023_3296038 crossref_primary_10_3390_rs15051265 crossref_primary_10_3390_electronics12112463 crossref_primary_10_3390_electronics12224612 crossref_primary_10_1109_TAES_2023_3335194 crossref_primary_10_3390_drones7050318 crossref_primary_10_1109_TAES_2023_3298757 crossref_primary_10_1109_TVT_2023_3294605 crossref_primary_10_1109_JIOT_2023_3312013 crossref_primary_10_1109_JIOT_2023_3282644 crossref_primary_10_3390_drones7100610 crossref_primary_10_1007_s00034_023_02377_4 crossref_primary_10_1016_j_dsp_2024_104932 crossref_primary_10_3390_s24082485 crossref_primary_10_1109_LSP_2023_3344315 crossref_primary_10_1109_LWC_2023_3282260 crossref_primary_10_3390_a16060261 crossref_primary_10_1109_JIOT_2023_3314442 crossref_primary_10_3390_s23031476 crossref_primary_10_3390_s23115214 crossref_primary_10_1109_JSTSP_2024_3400046 crossref_primary_10_1109_JSEN_2024_3368447 crossref_primary_10_3390_rs16244787 crossref_primary_10_3390_app132312740 |
| Cites_doi | 10.1007/s00034-020-01605-5 10.1109/JIOT.2021.3127747 10.1109/MWC.001.1900516 10.1109/TWC.2021.3122959 10.1109/TWC.2015.2473156 10.1109/LWC.2019.2919542 10.1109/LSP.2021.3051838 10.1109/TWC.2018.2874640 10.1109/8.855485 10.1016/j.sigpro.2021.108344 10.1109/TAES.2021.3054056 10.1109/TAES.2022.3208858 10.1109/TSP.2018.2847645 10.1109/LSP.2017.2783370 10.1109/JSTSP.2010.2042414 10.1109/TWC.2021.3068494 10.1109/MNET.001.1900287 10.1109/TAES.2021.3126370 10.1109/JIOT.2021.3094990 10.1109/TSP.2012.2232661 10.1109/MWC.2018.1700193 10.1109/TIT.2005.858979 10.1109/TWC.2021.3102483 10.1016/j.sigpro.2019.07.015 10.1109/TSP.2004.836456 10.1109/LCOMM.2021.3120211 10.1016/j.sigpro.2021.108406 10.1109/78.852000 10.1109/TVT.2018.2851783 10.1109/TSP.2010.2084085 10.1109/TSP.2010.2089682 10.1109/JSEN.2018.2800906 10.1109/78.995060 10.1109/LCOMM.2018.2889855 10.1109/LWC.2019.2942595 10.1109/GCWkshps52748.2021.9681960 10.1016/j.dsp.2008.01.002 10.1109/LCOMM.2015.2493064 10.1109/ICASSP.2017.7952743 10.1109/JSTSP.2019.2925786 10.1109/LCOMM.2017.2664809 10.1109/LCOMM.2017.2652442 10.1109/LWC.2018.2850900 10.1109/TWC.2020.3047866 10.1109/JSEN.2018.2820168 10.1049/iet-rsn.2018.5155 10.1109/TWC.2017.2669026 10.1109/TAES.2010.5417176 10.1109/TSP.2013.2289875 10.1109/TSP.2021.3068353 10.1109/LSP.2019.2913452 10.1109/TWC.2012.090312.111912 10.1109/TAP.2007.891848 10.1109/TSP.2010.2049264 10.1109/LCOMM.2020.2998529 10.1016/j.sigpro.2018.01.025 10.1109/MCOM.2014.6736761 10.1109/TSP.2012.2222378 10.1109/LWC.2019.2944816 10.1109/LCOMM.2016.2618789 10.1109/MCOM.2019.1900271 10.1109/TIT.2011.2161952 |
| ContentType | Journal Article |
| Copyright | Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2023 |
| Copyright_xml | – notice: Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2023 |
| DBID | 97E RIA RIE AAYXX CITATION 7SC 7SP 8FD JQ2 L7M L~C L~D |
| DOI | 10.1109/TWC.2022.3215965 |
| DatabaseName | IEEE Xplore (IEEE) IEEE All-Society Periodicals Package (ASPP) 1998–Present IEEE Electronic Library (IEL) CrossRef 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 |
| 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 |
| DatabaseTitleList | Technology Research Database |
| Database_xml | – sequence: 1 dbid: RIE name: IEEE Electronic Library (IEL) url: https://proxy.k.utb.cz/login?url=https://ieeexplore.ieee.org/ sourceTypes: Publisher |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering |
| EISSN | 1558-2248 |
| EndPage | 1 |
| ExternalDocumentID | 10_1109_TWC_2022_3215965 9934022 |
| Genre | orig-research |
| GroupedDBID | -~X 0R~ 29I 4.4 5GY 5VS 6IK 97E AAJGR AARMG AASAJ AAWTH ABAZT ABQJQ ABVLG ACGFO ACGFS ACIWK AENEX AETIX AGQYO AGSQL AHBIQ AIBXA AKJIK AKQYR ALMA_UNASSIGNED_HOLDINGS ATWAV BEFXN BFFAM BGNUA BKEBE BPEOZ CS3 DU5 EBS EJD HZ~ H~9 IES IFIPE IPLJI JAVBF LAI M43 O9- OCL P2P RIA RIE RNS AAYXX CITATION RIG 7SC 7SP 8FD JQ2 L7M L~C L~D |
| ID | FETCH-LOGICAL-c291t-af5a61540a7e125f7c32a2eb170563f882154d2b37423b2a7697cef9103d90123 |
| IEDL.DBID | RIE |
| ISSN | 1536-1276 |
| IngestDate | Fri Jul 25 18:57:50 EDT 2025 Thu Apr 24 23:04:37 EDT 2025 Tue Jul 01 04:13:34 EDT 2025 Wed Aug 27 02:29:08 EDT 2025 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 5 |
| Language | English |
| License | https://ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html https://doi.org/10.15223/policy-029 https://doi.org/10.15223/policy-037 |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c291t-af5a61540a7e125f7c32a2eb170563f882154d2b37423b2a7697cef9103d90123 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| ORCID | 0000-0003-3168-8883 0000-0001-6527-4326 0000-0003-3888-2881 |
| PQID | 2811732003 |
| PQPubID | 105736 |
| PageCount | 1 |
| ParticipantIDs | crossref_citationtrail_10_1109_TWC_2022_3215965 crossref_primary_10_1109_TWC_2022_3215965 proquest_journals_2811732003 ieee_primary_9934022 |
| ProviderPackageCode | CITATION AAYXX |
| PublicationCentury | 2000 |
| PublicationDate | 2023-05-01 |
| PublicationDateYYYYMMDD | 2023-05-01 |
| PublicationDate_xml | – month: 05 year: 2023 text: 2023-05-01 day: 01 |
| PublicationDecade | 2020 |
| PublicationPlace | New York |
| PublicationPlace_xml | – name: New York |
| PublicationTitle | IEEE transactions on wireless communications |
| PublicationTitleAbbrev | TWC |
| PublicationYear | 2023 |
| Publisher | IEEE The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher_xml | – name: IEEE – name: The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| References | ref13 ref57 ref12 ref56 ref15 ref59 ref14 ref58 ref53 ref52 ref11 ref55 ref10 ref54 ref17 ref16 ref19 ref18 ref51 ref50 ref46 ref45 ref48 ref47 ref42 ref41 ref44 ref43 tanveer (ref34) 2019; 13 ref49 ref8 ref7 ref9 ref4 ref3 ref6 ref5 ref40 ref35 ref37 ref36 ref31 ref30 ref33 ref32 ref2 ref1 ref39 ref38 ref24 ref23 ref26 ref25 ref20 ref22 ref21 ref28 ref27 ref29 ref60 ref62 ref61 |
| References_xml | – ident: ref39 doi: 10.1007/s00034-020-01605-5 – ident: ref3 doi: 10.1109/JIOT.2021.3127747 – ident: ref5 doi: 10.1109/MWC.001.1900516 – ident: ref9 doi: 10.1109/TWC.2021.3122959 – ident: ref23 doi: 10.1109/TWC.2015.2473156 – ident: ref36 doi: 10.1109/LWC.2019.2919542 – ident: ref15 doi: 10.1109/LSP.2021.3051838 – ident: ref49 doi: 10.1109/TWC.2018.2874640 – ident: ref30 doi: 10.1109/8.855485 – ident: ref41 doi: 10.1016/j.sigpro.2021.108344 – ident: ref29 doi: 10.1109/TAES.2021.3054056 – ident: ref42 doi: 10.1109/TAES.2022.3208858 – ident: ref57 doi: 10.1109/TSP.2018.2847645 – ident: ref19 doi: 10.1109/LSP.2017.2783370 – ident: ref54 doi: 10.1109/JSTSP.2010.2042414 – ident: ref43 doi: 10.1109/TWC.2021.3068494 – ident: ref6 doi: 10.1109/MNET.001.1900287 – ident: ref16 doi: 10.1109/TAES.2021.3126370 – ident: ref7 doi: 10.1109/JIOT.2021.3094990 – ident: ref60 doi: 10.1109/TSP.2012.2232661 – ident: ref2 doi: 10.1109/MWC.2018.1700193 – ident: ref58 doi: 10.1109/TIT.2005.858979 – ident: ref45 doi: 10.1109/TWC.2021.3102483 – ident: ref38 doi: 10.1016/j.sigpro.2019.07.015 – ident: ref61 doi: 10.1109/TSP.2004.836456 – ident: ref51 doi: 10.1109/LCOMM.2021.3120211 – ident: ref40 doi: 10.1016/j.sigpro.2021.108406 – ident: ref31 doi: 10.1109/78.852000 – ident: ref17 doi: 10.1109/TVT.2018.2851783 – ident: ref32 doi: 10.1109/TSP.2010.2084085 – ident: ref27 doi: 10.1109/TSP.2010.2089682 – ident: ref25 doi: 10.1109/JSEN.2018.2800906 – ident: ref59 doi: 10.1109/78.995060 – ident: ref46 doi: 10.1109/LCOMM.2018.2889855 – ident: ref48 doi: 10.1109/LWC.2019.2942595 – ident: ref8 doi: 10.1109/GCWkshps52748.2021.9681960 – ident: ref33 doi: 10.1016/j.dsp.2008.01.002 – ident: ref47 doi: 10.1109/LCOMM.2015.2493064 – ident: ref56 doi: 10.1109/ICASSP.2017.7952743 – ident: ref52 doi: 10.1109/JSTSP.2019.2925786 – ident: ref24 doi: 10.1109/LCOMM.2017.2664809 – ident: ref44 doi: 10.1109/LCOMM.2017.2652442 – ident: ref50 doi: 10.1109/LWC.2018.2850900 – ident: ref53 doi: 10.1109/TWC.2020.3047866 – ident: ref35 doi: 10.1109/JSEN.2018.2820168 – volume: 13 start-page: 65 year: 2019 ident: ref34 article-title: DOA estimation for coprime EMVS arrays via minimum distance criterion based on PARAFAC analysis publication-title: IET Radar Sonar Navigat doi: 10.1049/iet-rsn.2018.5155 – ident: ref11 doi: 10.1109/TWC.2017.2669026 – ident: ref62 doi: 10.1109/TAES.2010.5417176 – ident: ref55 doi: 10.1109/TSP.2013.2289875 – ident: ref14 doi: 10.1109/TSP.2021.3068353 – ident: ref13 doi: 10.1109/LSP.2019.2913452 – ident: ref12 doi: 10.1109/TWC.2012.090312.111912 – ident: ref21 doi: 10.1109/TAP.2007.891848 – ident: ref26 doi: 10.1109/TSP.2010.2049264 – ident: ref20 doi: 10.1109/LCOMM.2020.2998529 – ident: ref37 doi: 10.1016/j.sigpro.2018.01.025 – ident: ref1 doi: 10.1109/MCOM.2014.6736761 – ident: ref18 doi: 10.1109/TSP.2012.2222378 – ident: ref22 doi: 10.1109/LWC.2019.2944816 – ident: ref10 doi: 10.1109/LCOMM.2016.2618789 – ident: ref4 doi: 10.1109/MCOM.2019.1900271 – ident: ref28 doi: 10.1109/TIT.2011.2161952 |
| SSID | ssj0017655 |
| Score | 2.6226463 |
| Snippet | The polarized massive multiple-input multiple-output (MIMO) technique has been regarded as a promising solution to millimeter wave (mmWave) communication... |
| SourceID | proquest crossref ieee |
| SourceType | Aggregation Database Enrichment Source Index Database Publisher |
| StartPage | 1 |
| SubjectTerms | Algorithms Array signal processing Communications systems compressive sampling Direction of arrival Direction-of-arrival (DOA) estimation Direction-of-arrival estimation Estimation Massive MIMO millimeter wave (mmWave) communication Millimeter wave communication Millimeter waves MIMO communication Polarization polarization estimation polarized massive multiple-input multiple-output (MIMO) system Position errors Position sensing Robustness (mathematics) Sampling Sensor arrays Steering Wireless communication |
| Title | Compressive Sampling Framework for 2D-DOA and Polarization Estimation in mmWave Polarized Massive MIMO Systems |
| URI | https://ieeexplore.ieee.org/document/9934022 https://www.proquest.com/docview/2811732003 |
| Volume | 22 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1LS8QwEA7qSQ--VnF9kYMXwXZr0t00R1l3UaEquKK3kqaJiG5XtOvBX-9Mmi2iIt4KeRCYZOabzsw3hBzENlZSxd3AKs2DmEU2yEUig9hGiZY8UdZRbKSXvbPb-OK-ez9HjppaGGOMSz4zIX66WH4x0VP8VdYBWwruDijcebhmda1WEzEQPdfhFB4w9pURTUgykp3RXR8cQcZCDvZNohn5YoJcT5UfithZl-EKSWfnqpNKnsJplYf64xtl438PvkqWPcykJ_W9WCNzplwnS1_IB1ukRFXgsmDfDb1RmFlePtDhLFmLApql7DQA55GqsqDX6AP7ok06AMVQ1zzSx5KOx3cK9vAzTEFTVe-anqdX1HOib5Db4WDUPwt894VAM3lcBcp2FcCdOFLCAAqyQnOmGKh2AZiJW0DmMFiwnGOsN2dK9KTQxgL84IVEpLZJFspJabYIFXFukPjd8kKDjuiqBECdQOUirBJJr006M4Fk2lOTY4eM58y5KJHMQIQZijDzImyTw2bFS03L8cfcFkqkmeeF0Sa7M5ln_t2-ZQzrbjkm7G3_vmqHLGLD-TrlcZcsVK9TswewpMr33X38BBw13G4 |
| linkProvider | IEEE |
| linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV3Nb9MwFH-qtgNw2ICB6DbABy5IpM1sp46PaLTqoBlIdNpukePYaNqWTVu7w_76vee4UQUIcYvkD1n62e_9Xt4XwAfppdFGZok3ViSSpz6pVK4T6dPcapEbH0psFMej6Yn8epad9eBTlwvjnAvBZ25An8GXX1_bJf0qG6IuRXMHBe4m6n2Ztdlanc9AjUKPU3zC1FlGdU7JVA_np4doCnI-EKjhNCmSNSUUuqr8IYqDfplsQ7E6WRtWcjFYLqqBffitaOP_Hv05bEWiyT63N-MF9FzzEp6tlR_cgYaEQYiDvXfsp6HY8uYXm6zCtRjyWca_JGg-MtPU7AdZwTFtk41RNLRZj-y8YVdXpwb3iDNczQrT7locFd9ZrIr-Ck4m4_nhNIn9FxLL9cEiMT4zSHhkapRDHuSVFdxwFO4KWZPwyM1xsOaVIG9vxY0aaWWdRwIiak1c7TVsNNeNewNMycpR6XcvaotSIjM50jpF4kV5o_JRH4YrQEobi5NTj4zLMhgpqS4RwpIgLCOEffjYrbhpC3P8Y-4OIdLNi2D0YX-FeRlf7l3JKfNWUMje7t9XvYcn03kxK2dHx9_24Cm1n28DIPdhY3G7dG-RpCyqd-FuPgLRdd-7 |
| 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=Compressive+Sampling+Framework+for+2D-DOA+and+Polarization+Estimation+in+mmWave+Polarized+Massive+MIMO+Systems&rft.jtitle=IEEE+transactions+on+wireless+communications&rft.au=Wen%2C+Fangqing&rft.au=Guan+Gui&rft.au=Gacanin%2C+Haris&rft.au=Sari%2C+Hikmet&rft.date=2023-05-01&rft.pub=The+Institute+of+Electrical+and+Electronics+Engineers%2C+Inc.+%28IEEE%29&rft.issn=1536-1276&rft.eissn=1558-2248&rft.volume=22&rft.issue=5&rft.spage=3071&rft_id=info:doi/10.1109%2FTWC.2022.3215965&rft.externalDBID=NO_FULL_TEXT |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1536-1276&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1536-1276&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1536-1276&client=summon |