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

被引：2

作者：

Charrada, Anis ^{[1
,2
]}

机构：

[1] Tunisian Mil Res Ctr, Tunis 2045, Tunisia

[2] EPT Carthage Univ, SERCOM Labs, Tunis 2078, Tunisia

来源：

PHYSICAL COMMUNICATION | 2018年 / 29卷

关键词：

LMMSE-SVR; Cyclic prefix; High mobility; Turbo code; OFDM; 3GPP LTE; SELECTIVE CHANNELS; FADING CHANNELS; SYSTEMS;

D O I：

10.1016/j.phycom.2018.07.008

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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. (C) 2018 Elsevier B.V. All rights reserved.

引用

页码：288 / 295

页数：8

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