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dc.contributor.authorHuang, Yu-Chingen_US
dc.contributor.authorLin, David W.en_US
dc.date.accessioned2019-10-05T00:09:45Z-
dc.date.available2019-10-05T00:09:45Z-
dc.date.issued2019-01-01en_US
dc.identifier.isbn978-1-7281-1217-6en_US
dc.identifier.issn1550-2252en_US
dc.identifier.urihttp://hdl.handle.net/11536/152944-
dc.description.abstractThe 3GPP LTE series of standards have made provisions for device-to-device (D2D) and vehicle-to-everything (V2X) communication in recent releases. The interface accommodating such communication is termed the sidelink (SL), which reuses some physical layer specifications originally defined for the uplink, such as single-carrier frequency-division multiple access (SC-FDMA), with some modifications. One modification is the use of doubly dense demodulation reference signals (DMRS) in the V2X setting to assist channel estimation. An SC-FDMA channel estimator typically starts with a least-squares (LS) estimation of the channel frequency response (CFR) at the DMRS. It then obtains CFR estimates for the data subcarriers by some time-frequency filtering. This work considers SL channel estimation techniques. The proposed method employs a novel linear minimum mean-square error (LMMSE) filtering mechanism in the frequency domain to reduce the noise in the LS CFR estimates and then, depending on the DMRS density, uses particularly designed LMMSE filtering or polynomial interpolation in the time domain to obtain the desired CFR estimates for the data subcarriers. Simulation results show that the method can yield superior performance over a wide range of channel conditions.en_US
dc.language.isoen_USen_US
dc.titleLMMSE-Based Sidelink Channel Estimation for LTE Communication Systemsen_US
dc.typeProceedings Paperen_US
dc.identifier.journal2019 IEEE 89TH VEHICULAR TECHNOLOGY CONFERENCE (VTC2019-SPRING)en_US
dc.citation.spage0en_US
dc.citation.epage0en_US
dc.contributor.department電子工程學系及電子研究所zh_TW
dc.contributor.departmentDepartment of Electronics Engineering and Institute of Electronicsen_US
dc.identifier.wosnumberWOS:000482655600104en_US
dc.citation.woscount0en_US
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