Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Channel Estimation and Data Detection in the Presence of Phase Noise in MIMO-OFDM Systems With Independent Oscillators

Authors
Lee, Tae-JunKo, Young-Chai
Issue Date
2017
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Keywords
MIMO; OFDM; phase noise; RF impairment; mmWave; oscillators; channel estimation; common phase error (CPE); inter-carrier interference (ICI)
Citation
IEEE ACCESS, v.5, pp.9647 - 9662
Indexed
SCIE
SCOPUS
Journal Title
IEEE ACCESS
Volume
5
Start Page
9647
End Page
9662
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/86311
DOI
10.1109/ACCESS.2017.2709325
ISSN
2169-3536
Abstract
In this paper, we propose the mitigating scheme to reduce the effects of phase noise in multiinput multi-output-orthogonal frequency division multiplexing system with independent oscillator in each RF chain. Our proposed schemes consist of two stages; channel estimation stage and data decoding stage. In the first stage, we propose the channel estimation algorithm based on maximum a posteriori (MAP) estimator and a method of selecting the training sequence for channel estimation and we provide the mathematical analysis of our proposed scheme. In the second stage, MAP estimators are used to jointly estimate phase noise at TX and RX and detect data symbols. For analysis of mean square error (MSE) performances, we derive Bayesian Cramer-Rao bound for multi-parameter estimation problem in each stage. At the end of this paper, we demonstrate from our simulation results that our mathematical analysis is accurate and the proposed algorithm improves the bit-error-rate performance and MSE performance compared with existing schemes.
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Engineering > School of Electrical Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetrics

Total Views & Downloads

BROWSE