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dc.contributor.author최준원-
dc.date.accessioned2017-02-21T06:29:20Z-
dc.date.available2017-02-21T06:29:20Z-
dc.date.issued2015-06-
dc.identifier.citationIEEE TRANSACTIONS ON SIGNAL PROCESSING, v. 63, NO 12, Page. 3032-3045en_US
dc.identifier.issn1053-587X-
dc.identifier.issn1941-0476-
dc.identifier.urihttp://hdl.handle.net/20.500.11754/25583-
dc.identifier.urihttp://ieeexplore.ieee.org/document/7067422/-
dc.description.abstractThe number of transmit and receive antennas in multi-input multi-output (MIMO) systems is increasing rapidly to enhance the throughput and reliability of next-generation wireless systems. Benefits of large size MIMO systems, however, can be realized only when the quality of estimated channels is ensured at the transmitter and receiver side alike. In this paper, we introduce a new decision-directed channel estimation technique dealing with pilot shortage in the MIMO-OFDM systems. The proposed channel estimator uses soft symbol decisions obtained by iterative detection and decoding (IDD) scheme to enhance the quality of channel estimate. Using the soft information from the decoders, the proposed channel estimator selects reliable data tones, subtracts interstream interferences, and performs re-estimation of the channels. We analyze the optimal data tone selection criterion, which accounts for the reliability of symbol decisions and correlation of channels between the data tones and pilot tones. From numerical simulations, we show that the proposed channel estimator achieves considerable improvement in system performance over the conventional channel estimators in realistic MIMO-OFDM scenarios.en_US
dc.description.sponsorshipThis work was supported by the Communications Research Team, DMC R&D Center, Samsung Electronics Co. Ltd., the National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIP) (no. 2014049151, 2014R1A5A1011478 and 2014R1A1A2055805), and the research grant from Hanyang University (HY-2013). This paper was presented in part at the Information Theory and Application Workshop (ITA), San Diego, CA, USA, February 2014.en_US
dc.language.isoenen_US
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INCen_US
dc.subjectChannel estimationen_US
dc.subjectdecision directed channel estimationen_US
dc.subjectiterative detection and decodingen_US
dc.subjectjoint channel estimation and detectionen_US
dc.subjectmulti-input multi-outputen_US
dc.subjectorthogonal frequency division multiplexingen_US
dc.subjectMIMOen_US
dc.subjectOFDMen_US
dc.titleIterative Channel Estimation Using Virtual Pilot Signals for MIMO-OFDM Systemsen_US
dc.typeArticleen_US
dc.relation.no12-
dc.relation.volume63-
dc.identifier.doi10.1109/TSP.2015.2416684-
dc.relation.page3032-3045-
dc.relation.journalIEEE TRANSACTIONS ON SIGNAL PROCESSING-
dc.contributor.googleauthorPark, Sunho-
dc.contributor.googleauthorShim, Byonghyo-
dc.contributor.googleauthorChoi, Jun Won-
dc.relation.code2015000964-
dc.sector.campusS-
dc.sector.daehakCOLLEGE OF ENGINEERING[S]-
dc.sector.departmentDIVISION OF ELECTRICAL AND BIOMEDICAL ENGINEERING-
dc.identifier.pidjunwchoi-
dc.identifier.researcherIDL-1202-2016-
dc.identifier.orcidhttp://orcid.org/0000-0002-3733-0148-
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COLLEGE OF ENGINEERING[S](공과대학) > ELECTRICAL AND BIOMEDICAL ENGINEERING(전기·생체공학부) > Articles
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