Gridless Parameter Estimation for One-Bit MIMO Radar With Time-Varying Thresholds
We investigate the one-bit MIMO (1b-MIMO) radar that performs one-bit sampling with a time-varying threshold in the temporal domain and employs compressive sensing in the spatial and Doppler domains. The goals are to significantly reduce the hardware cost, energy consumption, and amount of stored da...
Saved in:
| Published in | IEEE transactions on signal processing Vol. 68; pp. 1048 - 1063 |
|---|---|
| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
New York
IEEE
2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1053-587X 1941-0476 |
| DOI | 10.1109/TSP.2020.2970343 |
Cover
| Abstract | We investigate the one-bit MIMO (1b-MIMO) radar that performs one-bit sampling with a time-varying threshold in the temporal domain and employs compressive sensing in the spatial and Doppler domains. The goals are to significantly reduce the hardware cost, energy consumption, and amount of stored data. The joint angle and Doppler frequency estimations from noisy onebit data are studied. By showing that the effect of noise on one-bit sampling is equivalent to that of sparse impulsive perturbations, we formulate the one-bit ℓ 1 -regularized atomic-norm minimization (1b-ANM-L1) problem to achieve gridless parameter estimation with high accuracy. We also develop an iterative method for solving the 1b-ANM-L1 problem via the alternating direction method of multipliers. The Cramér-Rao bound (CRB) of the 1b-MIMO radar is analyzed, and the analytical performance of one-bit sampling with two different threshold strategies is discussed. Numerical experiments are presented to show that the 1b-MIMO radar can achieve high-resolution parameter estimation with a largely reduced amount of data. |
|---|---|
| AbstractList | We investigate the one-bit MIMO (1b-MIMO) radar that performs one-bit sampling with a time-varying threshold in the temporal domain and employs compressive sensing in the spatial and Doppler domains. The goals are to significantly reduce the hardware cost, energy consumption, and amount of stored data. The joint angle and Doppler frequency estimations from noisy one-bit data are studied. By showing that the effect of noise on one-bit sampling is equivalent to that of sparse impulsive perturbations, we formulate the one-bit [Formula Omitted]-regularized atomic-norm minimization (1b-ANM-L1) problem to achieve gridless parameter estimation with high accuracy. We also develop an iterative method for solving the 1b-ANM-L1 problem via the alternating direction method of multipliers. The Cram[Formula Omitted]r-Rao bound (CRB) of the 1b-MIMO radar is analyzed, and the analytical performance of one-bit sampling with two different threshold strategies is discussed. Numerical experiments are presented to show that the 1b-MIMO radar can achieve high-resolution parameter estimation with a largely reduced amount of data. We investigate the one-bit MIMO (1b-MIMO) radar that performs one-bit sampling with a time-varying threshold in the temporal domain and employs compressive sensing in the spatial and Doppler domains. The goals are to significantly reduce the hardware cost, energy consumption, and amount of stored data. The joint angle and Doppler frequency estimations from noisy onebit data are studied. By showing that the effect of noise on one-bit sampling is equivalent to that of sparse impulsive perturbations, we formulate the one-bit ℓ 1 -regularized atomic-norm minimization (1b-ANM-L1) problem to achieve gridless parameter estimation with high accuracy. We also develop an iterative method for solving the 1b-ANM-L1 problem via the alternating direction method of multipliers. The Cramér-Rao bound (CRB) of the 1b-MIMO radar is analyzed, and the analytical performance of one-bit sampling with two different threshold strategies is discussed. Numerical experiments are presented to show that the 1b-MIMO radar can achieve high-resolution parameter estimation with a largely reduced amount of data. |
| Author | Xiang, Yijian Chen, Shengyao Nehorai, Arye Xi, Feng |
| Author_xml | – sequence: 1 givenname: Feng orcidid: 0000-0002-4170-3023 surname: Xi fullname: Xi, Feng email: xifeng@njust.edu.cn organization: Department of Electronic Engineering, Nanjing University of Science and Technology, Nanjing, China – sequence: 2 givenname: Yijian orcidid: 0000-0001-9069-1084 surname: Xiang fullname: Xiang, Yijian email: yijian.xiang@wustl.edu organization: Department of Electrical and Systems Engineering, Washington University in St. Louis, St. Louis, MO, USA – sequence: 3 givenname: Shengyao orcidid: 0000-0002-4546-5843 surname: Chen fullname: Chen, Shengyao email: chenshengyao@njust.edu.cn organization: Department of Electronic Engineering, Nanjing University of Science and Technology, Nanjing, China – sequence: 4 givenname: Arye orcidid: 0000-0002-9055-9865 surname: Nehorai fullname: Nehorai, Arye email: nehorai@wustl.edu organization: Department of Electrical and Systems Engineering, Washington University in St. Louis, St. Louis, MO, USA |
| BookMark | eNp9kE1PwkAQhjcGEwG9m3jZxHNx9qtlj0oQSSCgNuqt2W63sqS0uLsc-PcWIR48eJo5vM87maeHOnVTG4SuCQwIAXmXvi4HFCgMqEyAcXaGukRyEgFP4k67g2CRGCYfF6jn_RqAcC7jLnqeOFtUxnu8VE5tTDAOj32wGxVsU-OycXhRm-jBBjyfzhf4RRXK4XcbVji1GxO9Kbe39SdOV874VVMV_hKdl6ry5uo0-yh9HKejp2i2mExH97NIU0lCVMaGQ644ZUAZEUNDlQEldEFgKLikQnJNylzlcSnzhChZKKq5oAUUWnDN-uj2WLt1zdfO-JCtm52r24sZZUJKQlmctKn4mNKu8d6ZMtM2_LwWnLJVRiA72Mtae9nBXnay14LwB9y6Vorb_4fcHBFrjPmND2XCOZHsGzLDe5o |
| CODEN | ITPRED |
| CitedBy_id | crossref_primary_10_1109_TSP_2021_3116343 crossref_primary_10_1109_TAES_2023_3297570 crossref_primary_10_1109_TAES_2022_3179220 crossref_primary_10_1109_TVT_2023_3293135 crossref_primary_10_1109_TGRS_2023_3322554 crossref_primary_10_1109_TVT_2022_3178285 crossref_primary_10_1109_TVT_2023_3239003 crossref_primary_10_1109_TRS_2023_3318177 crossref_primary_10_1109_TSP_2021_3122290 crossref_primary_10_1109_TSP_2022_3208430 crossref_primary_10_1109_ACCESS_2020_2989525 crossref_primary_10_1016_j_dsp_2021_103088 crossref_primary_10_1016_j_dsp_2021_103363 crossref_primary_10_3390_rs17060982 crossref_primary_10_1109_TSP_2023_3325664 crossref_primary_10_1109_TSP_2024_3368770 crossref_primary_10_1109_TVT_2022_3152512 crossref_primary_10_1109_TSP_2022_3217379 crossref_primary_10_1109_TSP_2024_3484582 crossref_primary_10_1016_j_dsp_2021_103265 crossref_primary_10_1109_TGRS_2024_3357812 crossref_primary_10_1016_j_sigpro_2022_108899 crossref_primary_10_1109_TSP_2022_3176953 crossref_primary_10_1109_TSP_2022_3146790 crossref_primary_10_1109_TSP_2024_3356253 crossref_primary_10_1109_TVT_2023_3328800 crossref_primary_10_1007_s00034_022_02044_0 crossref_primary_10_1109_LCOMM_2021_3072490 crossref_primary_10_1109_TAES_2020_3000841 crossref_primary_10_1016_j_isatra_2020_12_050 crossref_primary_10_1109_TAES_2024_3447627 crossref_primary_10_1109_LCOMM_2023_3349297 crossref_primary_10_1109_TVT_2024_3464637 |
| Cites_doi | 10.1109/ACSSC.2016.7869554 10.1109/RADAR.2016.7485243 10.1109/TSP.2014.2315168 10.1109/TSP.2011.2162324 10.1109/ACSSC.2009.5469926 10.1109/TAES.2017.2717518 10.1109/CISS.2008.4558487 10.1109/49.761034 10.1109/MSP.2018.2868137 10.1109/TSP.2012.2193397 10.1109/TSP.2013.2289875 10.1109/LSP.2018.2885617 10.1109/29.17564 10.1049/iet-cds.2010.0147 10.1093/imaiai/iaz021 10.1109/78.157226 10.1109/ICASSP.2017.7952791 10.1109/TIT.2016.2527637 10.1109/TIT.2012.2234823 10.1109/CAMSAP.2017.8313172 10.1109/TSP.2013.2273443 10.1109/TSP.2018.2815022 10.1109/TAES.2002.1039405 10.1109/29.60114 10.1109/TIT.2016.2553041 10.1007/BF03014796 10.1016/j.sigpro.2019.04.024 10.1109/ICASSP.2017.7952847 10.1109/18.915654 10.1109/MSP.2007.904812 10.1109/TSP.2014.2312332 10.1109/JETCAS.2012.2214634 10.1109/TAES.2014.130475 10.1109/TIT.2017.2717583 10.1109/TIT.2013.2252232 10.1109/ICASSP.2017.7952973 10.1109/MSP.2005.1550190 10.1109/ICASSP.2017.7952721 10.1109/ACSSC.2018.8645383 10.1109/TSP.2017.2659650 10.1109/TSP.2019.2899804 10.1109/TIT.2013.2277451 10.1109/TAES.2015.140452 10.1002/cpa.21455 10.1109/TIT.2012.2207945 10.1561/2200000016 10.1109/TSP.2018.2838541 10.1109/TVT.2018.2870580 10.1109/MSP.2008.4408448 10.1109/NRC.2004.1316398 10.1109/LSP.2016.2572307 10.1109/TSP.2014.2304917 10.1109/TSP.2018.2831624 10.1109/TSP.2017.2706179 10.1109/JSTSP.2009.2038973 10.1109/TSP.2015.2420541 10.1109/TSP.2011.2112650 10.1109/TSP.2018.2827326 10.1093/imaiai/iax004 10.1109/SAM.2018.8448606 |
| ContentType | Journal Article |
| Copyright | Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2020 |
| Copyright_xml | – notice: Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2020 |
| DBID | 97E RIA RIE AAYXX CITATION 7SC 7SP 8FD JQ2 L7M L~C L~D |
| DOI | 10.1109/TSP.2020.2970343 |
| DatabaseName | IEEE All-Society Periodicals Package (ASPP) 2005–Present 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 | 1941-0476 |
| EndPage | 1063 |
| ExternalDocumentID | 10_1109_TSP_2020_2970343 8974419 |
| Genre | orig-research |
| GrantInformation_xml | – fundername: China Scholarship Council for his visit at Washington University in St. Louis – fundername: National Natural Science Foundation of China; National Science Foundation of China grantid: 61571228 funderid: 10.13039/501100001809 |
| GroupedDBID | -~X .DC 0R~ 29I 3EH 4.4 53G 5GY 5VS 6IK 85S 97E AAJGR AARMG AASAJ AAWTH ABAZT ABFSI ABQJQ ABVLG ACGFO ACIWK ACKIV ACNCT AENEX AETIX AGQYO AGSQL AHBIQ AI. AIBXA AJQPL AKJIK AKQYR ALLEH ALMA_UNASSIGNED_HOLDINGS ASUFR ATWAV BEFXN BFFAM BGNUA BKEBE BPEOZ CS3 E.L EBS EJD F5P HZ~ H~9 ICLAB IFIPE IFJZH IPLJI JAVBF LAI MS~ O9- OCL P2P RIA RIE RNS TAE TN5 VH1 AAYXX CITATION 7SC 7SP 8FD JQ2 L7M L~C L~D |
| ID | FETCH-LOGICAL-c291t-f6e40ba423023158e2ae0a5cd1085492594c1fbab6f9b71a9da2c452d0dc54c3 |
| IEDL.DBID | RIE |
| ISSN | 1053-587X |
| IngestDate | Mon Jun 30 10:17:50 EDT 2025 Thu Apr 24 23:04:09 EDT 2025 Wed Oct 01 03:34:33 EDT 2025 Wed Aug 27 02:42:21 EDT 2025 |
| IsPeerReviewed | true |
| IsScholarly | true |
| 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-f6e40ba423023158e2ae0a5cd1085492594c1fbab6f9b71a9da2c452d0dc54c3 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| ORCID | 0000-0002-9055-9865 0000-0002-4546-5843 0000-0002-4170-3023 0000-0001-9069-1084 |
| PQID | 2359912367 |
| PQPubID | 85478 |
| PageCount | 16 |
| ParticipantIDs | crossref_citationtrail_10_1109_TSP_2020_2970343 crossref_primary_10_1109_TSP_2020_2970343 ieee_primary_8974419 proquest_journals_2359912367 |
| ProviderPackageCode | CITATION AAYXX |
| PublicationCentury | 2000 |
| PublicationDate | 20200000 2020-00-00 20200101 |
| PublicationDateYYYYMMDD | 2020-01-01 |
| PublicationDate_xml | – year: 2020 text: 20200000 |
| PublicationDecade | 2020 |
| PublicationPlace | New York |
| PublicationPlace_xml | – name: New York |
| PublicationTitle | IEEE transactions on signal processing |
| PublicationTitleAbbrev | TSP |
| PublicationYear | 2020 |
| 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 | ref57 ref13 ref56 ref12 ref15 ref58 ref14 ref53 ref52 ref55 ref11 ref54 ref10 ref17 ref16 ref19 ref50 ref46 ref45 richards (ref51) 2005 ref48 ref47 ref42 ref41 ref44 ref43 ref49 ref8 ref7 ref9 ref4 ref3 ref6 ref40 ref35 ref37 ref36 ref31 ref30 ref33 grant (ref59) 2014 ref32 ref2 ref1 ref39 ref38 rondeau (ref18) 2005; 22 ref24 ref23 ref26 ref25 ref20 ref63 stoica (ref64) 2005 ref22 ref21 ref28 ref27 ref29 cambareri (ref34) 2017; 6 ref60 ref62 ref61 becker (ref5) 2011 |
| References_xml | – ident: ref27 doi: 10.1109/ACSSC.2016.7869554 – ident: ref14 doi: 10.1109/RADAR.2016.7485243 – ident: ref6 doi: 10.1109/TSP.2014.2315168 – ident: ref20 doi: 10.1109/TSP.2011.2162324 – ident: ref39 doi: 10.1109/ACSSC.2009.5469926 – year: 2011 ident: ref5 article-title: Practical compressed sensing: Modern data acquisition and signal processing – ident: ref55 doi: 10.1109/TAES.2017.2717518 – ident: ref19 doi: 10.1109/CISS.2008.4558487 – ident: ref17 doi: 10.1109/49.761034 – ident: ref16 doi: 10.1109/MSP.2018.2868137 – ident: ref40 doi: 10.1109/TSP.2012.2193397 – ident: ref12 doi: 10.1109/TSP.2013.2289875 – year: 2005 ident: ref51 publication-title: Fundamentals of Radar Signal Processing – ident: ref15 doi: 10.1109/LSP.2018.2885617 – ident: ref62 doi: 10.1109/29.17564 – ident: ref4 doi: 10.1049/iet-cds.2010.0147 – ident: ref36 doi: 10.1093/imaiai/iaz021 – ident: ref53 doi: 10.1109/78.157226 – ident: ref28 doi: 10.1109/ICASSP.2017.7952791 – ident: ref33 doi: 10.1109/TIT.2016.2527637 – ident: ref21 doi: 10.1109/TIT.2012.2234823 – ident: ref22 doi: 10.1109/CAMSAP.2017.8313172 – ident: ref45 doi: 10.1109/TSP.2013.2273443 – ident: ref31 doi: 10.1109/TSP.2018.2815022 – ident: ref25 doi: 10.1109/TAES.2002.1039405 – ident: ref52 doi: 10.1109/29.60114 – ident: ref47 doi: 10.1109/TIT.2016.2553041 – ident: ref63 doi: 10.1007/BF03014796 – ident: ref48 doi: 10.1016/j.sigpro.2019.04.024 – ident: ref23 doi: 10.1109/ICASSP.2017.7952847 – ident: ref61 doi: 10.1109/18.915654 – ident: ref2 doi: 10.1109/MSP.2007.904812 – ident: ref54 doi: 10.1109/TSP.2014.2312332 – ident: ref8 doi: 10.1109/JETCAS.2012.2214634 – ident: ref9 doi: 10.1109/TAES.2014.130475 – ident: ref35 doi: 10.1109/TIT.2017.2717583 – ident: ref60 doi: 10.1109/TIT.2013.2252232 – ident: ref57 doi: 10.1109/ICASSP.2017.7952973 – volume: 22 start-page: 69 year: 2005 ident: ref18 article-title: Analog-to-digital converters publication-title: IEEE Signal Process Mag doi: 10.1109/MSP.2005.1550190 – ident: ref58 doi: 10.1109/ICASSP.2017.7952721 – ident: ref37 doi: 10.1109/ACSSC.2018.8645383 – ident: ref50 doi: 10.1109/TSP.2017.2659650 – ident: ref42 doi: 10.1109/TSP.2019.2899804 – ident: ref44 doi: 10.1109/TIT.2013.2277451 – ident: ref11 doi: 10.1109/TAES.2015.140452 – ident: ref43 doi: 10.1002/cpa.21455 – ident: ref38 doi: 10.1109/TIT.2012.2207945 – year: 2014 ident: ref59 article-title: CVX: Matlab software for disciplined convex programming, version 2.1 – ident: ref49 doi: 10.1561/2200000016 – ident: ref13 doi: 10.1109/TSP.2018.2838541 – ident: ref32 doi: 10.1109/TVT.2018.2870580 – ident: ref3 doi: 10.1109/MSP.2008.4408448 – ident: ref1 doi: 10.1109/NRC.2004.1316398 – ident: ref26 doi: 10.1109/LSP.2016.2572307 – ident: ref7 doi: 10.1109/TSP.2014.2304917 – ident: ref56 doi: 10.1109/TSP.2018.2831624 – ident: ref30 doi: 10.1109/TSP.2017.2706179 – ident: ref10 doi: 10.1109/JSTSP.2009.2038973 – year: 2005 ident: ref64 publication-title: Spectral Analysis of Signals – ident: ref46 doi: 10.1109/TSP.2015.2420541 – ident: ref41 doi: 10.1109/TSP.2011.2112650 – ident: ref24 doi: 10.1109/TSP.2018.2827326 – volume: 6 start-page: 441 year: 2017 ident: ref34 article-title: Time for dithering: Fast and quantized random embeddings via the restricted isometry property publication-title: Information and Inference A Journal of the IMA doi: 10.1093/imaiai/iax004 – ident: ref29 doi: 10.1109/SAM.2018.8448606 |
| SSID | ssj0014496 |
| Score | 2.5269291 |
| Snippet | We investigate the one-bit MIMO (1b-MIMO) radar that performs one-bit sampling with a time-varying threshold in the temporal domain and employs compressive... |
| SourceID | proquest crossref ieee |
| SourceType | Aggregation Database Enrichment Source Index Database Publisher |
| StartPage | 1048 |
| SubjectTerms | 1-bit sampling ADMM atomic norm Domains Doppler effect Doppler radar Energy consumption Iterative methods low-rank matrix recovery MIMO radar off-grid Parameter estimation Quantization (signal) Radar Receiving antennas Sampling |
| Title | Gridless Parameter Estimation for One-Bit MIMO Radar With Time-Varying Thresholds |
| URI | https://ieeexplore.ieee.org/document/8974419 https://www.proquest.com/docview/2359912367 |
| Volume | 68 |
| 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://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV07T8MwELZKJxh4FUShIA8sSLh1EjuJR0AtD6m0QIFukWM7oqJqUZsu_HrOeVS8hNgyOJZ1d7Y_-_x9h9CxoFIwz-MENhtJmKGGCO35xNGhDqQLYaMtObl76189spshH1bQ6ZILY4zJHp-Zpv3Mcvl6qhb2qqwVAvhlVuNzJQj9nKu1zBgwltXiArjgER4GwzIlSUVr8NCHg6BLm66A-Gbely0oq6nyYyHOdpfOBuqW48oflbw2F2ncVO_fJBv_O_BNtF7ATHyWx8UWqpjJNlr7JD5YQ3eXs5Eew0KH-9K-0AID4zZM-JzLiAHM4t7EkPNRirvX3R6-l1rO8PMofcGWN0Ke5MxSpPAAomFuk1jzHTTotAcXV6QosECUK5yUJL5hNJaAqKwKHA-NKw2VXGlLSbCqhYIpJ4ll7CciDhwptHQV464GB3KmvF1UnUwnZg9h7gnoKKBGCx-6VKGE4KBMB4kRPFBJHbVKk0eqEB-3NTDGUXYIoSICJ0XWSVHhpDo6Wf7xlgtv_NG2Zm2-bFeYu44apVejYmbOI9fjAImtbt3-738doFXbd37N0kDVdLYwhwA80vgoi7gPgtzTqw |
| linkProvider | IEEE |
| linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1LT-MwEB4hOLAceC7a8vSBC9K6dRM7iY-AgPIIj90AvUWO7WgrqoLa9MKvZ5ykFSwIccvBdqyZsf3ZM_MNwJ5kSnLfFxQPG0W5ZZZK4we0bSITKg_Nxrjk5Pgq6Nzx867ozsDvaS6MtbYMPrNN91n68s2THrunslaE4Jc7js85wTkXVbbW1GfAeVmNCwGDT0UUdidOSSZbyd8bvAp6rOlJtHDuvzuEyqoqH7bi8nw5WYJ4MrMqrOSxOS6ypn75j7Txu1NfhsUaaJKDyjJWYMYOVmHhDf3gGtyeDnumj1sduVEuRgtFTI5xyVfZjAThLLkeWHrYK0h8Fl-TP8qoIXnoFf-Iyxyh92rokqRIgvYwcm6s0U9ITo6Tow6tSyxQ7cl2QfPAcpYpxFSOB05E1lOWKaGNS0pwvIWS63aeqSzIZRa2lTTK01x4BlUouPbXYXbwNLC_gAhf4kAhs0YGOKSOFJoH4ybMrRShzhvQmog81TX9uKuC0U_LawiTKSopdUpKayU1YH_a47mi3vii7ZqT-bRdLe4GbE20mtZrc5R6vkBQ7JjrNj7vtQvznSS-TC_Pri424Yf7T_XosgWzxXBstxGGFNlOaX2vwt7W-A |
| 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=Gridless+Parameter+Estimation+for+One-Bit+MIMO+Radar+With+Time-Varying+Thresholds&rft.jtitle=IEEE+transactions+on+signal+processing&rft.au=Xi%2C+Feng&rft.au=Xiang%2C+Yijian&rft.au=Chen%2C+Shengyao&rft.au=Nehorai%2C+Arye&rft.date=2020&rft.pub=IEEE&rft.issn=1053-587X&rft.volume=68&rft.spage=1048&rft.epage=1063&rft_id=info:doi/10.1109%2FTSP.2020.2970343&rft.externalDocID=8974419 |
| 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 |