SVM based on LMMSE for high-speed coded OFDM channel with normal and extended cyclic prefix

We propose in this article, a Linear Minimum Mean Squares Error-Support Vector Machine regression (LMMSE-SVR) method which is employed high-speed 3GPP Long Term Evolution (LTE) downlink coded channel estimation environment. LMMSE-SVR approach is applied to track and estimate the fast fluctuations ca...

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Bibliographic Details
Published inPhysical communication Vol. 29; pp. 288 - 295
Main Author Charrada, Anis
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.08.2018
Subjects
3GPP LTE
Cyclic prefix
High mobility
LMMSE-SVR
OFDM
Turbo code
3GPP LTE
Cyclic prefix
Turbo code
OFDM
High mobility
LMMSE-SVR
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Summary:We propose in this article, a Linear Minimum Mean Squares Error-Support Vector Machine regression (LMMSE-SVR) method which is employed high-speed 3GPP Long Term Evolution (LTE) downlink coded channel estimation environment. LMMSE-SVR approach is applied to track and estimate the fast fluctuations caused by Doppler effect of a 3GPP realistic Extended Vehicular A model (EVA) channel. We integrate in this contribution both channel estimation at pilot symbols and interpolation at data symbols into the LMMSE-SVR process with and without turbo coding scheme. Bit Error Rate (BER) performance of our channel environment estimation proposal is validated via simulation of LTE downlink system for both coded and uncoded high-speed scenarios with normal and extended Cyclic Prefix (CP) modes.
ISSN:1874-4907
1876-3219
DOI:10.1016/j.phycom.2018.07.008