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@article{ART002101574},
author={Woojong Kim and Sang Kyu Park and Kwangmin Hyun},
title={BER Performance of MIMO-OFDM Systems with I/Q Imbalances},
journal={Journal of Knowledge Information Technology and Systems},
issn={1975-7700},
year={2016},
volume={11},
number={2},
pages={187-195}

TY - JOUR
AU - Woojong Kim
AU - Sang Kyu Park
AU - Kwangmin Hyun
TI - BER Performance of MIMO-OFDM Systems with I/Q Imbalances
JO - Journal of Knowledge Information Technology and Systems
PY - 2016
VL - 11
IS - 2
PB - Korea Knowledge Information Technology Society
SP - 187
EP - 195
SN - 1975-7700
AB - In next-generation wireless communication systems, high-rate data transmission is required with the multimedia contents. MIMO-OFDM(Multiple Input Multiple Output – Orthogonal Frequency Division Multiplexing) with multi-level modulation and iterative decoding schemes is used to cope with the data traffic problem. But the performance of the communication system is affected by I/Q(In-phase/Quadrature) imbalance with imperfect practical circuits in noisy environment. In order to overcome the I/Q, amplitude and phase, imbalance, estimating noise variance is one of the important methods to enhance the system performance especially with MMSE(Minimum Mean Square Error) scheme. In this paper, we analyzed BER(Bit Error Rate) performances of MIMO-OFDM system with I/Q imbalance where we considered iterative decoding and MMSE scheme. The estimated noise variance value is used to calculate weighting matrix for MMSE filter. For MMSE, according to the amount of I/Q imbalance, it impacts on noise variance estimating performance, and larger the amount of I/Q imbalance leads to worse SNR resulting in performance degradation. If a specific threshold value of noise variance, to decide whether MMSE function is operated or not, is used. we can get better performance with simultaneous operation of iterative decoding and MMSE than without MMSE scheme depending on the amount of I/Q imbalance. The simulation results validate the proposed technique in BER performance.
KW - MIMO-OFDM Systems;Noise Estimation;Noise variance;Minimum Mean Square Error(MMSE);BER performance
DO -
UR -
ER -

Woojong Kim, Sang Kyu Park and Kwangmin Hyun. (2016). BER Performance of MIMO-OFDM Systems with I/Q Imbalances. Journal of Knowledge Information Technology and Systems, 11(2), 187-195.

Woojong Kim, Sang Kyu Park and Kwangmin Hyun. 2016, "BER Performance of MIMO-OFDM Systems with I/Q Imbalances", Journal of Knowledge Information Technology and Systems, vol.11, no.2 pp.187-195.

Woojong Kim, Sang Kyu Park, Kwangmin Hyun "BER Performance of MIMO-OFDM Systems with I/Q Imbalances" Journal of Knowledge Information Technology and Systems 11.2 pp.187-195 (2016) : 187.

Woojong Kim, Sang Kyu Park, Kwangmin Hyun. BER Performance of MIMO-OFDM Systems with I/Q Imbalances. 2016; 11(2), 187-195.

Woojong Kim, Sang Kyu Park and Kwangmin Hyun. "BER Performance of MIMO-OFDM Systems with I/Q Imbalances" Journal of Knowledge Information Technology and Systems 11, no.2 (2016) : 187-195.

Woojong Kim; Sang Kyu Park; Kwangmin Hyun. BER Performance of MIMO-OFDM Systems with I/Q Imbalances. Journal of Knowledge Information Technology and Systems, 11(2), 187-195.

Woojong Kim; Sang Kyu Park; Kwangmin Hyun. BER Performance of MIMO-OFDM Systems with I/Q Imbalances. Journal of Knowledge Information Technology and Systems. 2016; 11(2) 187-195.

Woojong Kim, Sang Kyu Park, Kwangmin Hyun. BER Performance of MIMO-OFDM Systems with I/Q Imbalances. 2016; 11(2), 187-195.

Woojong Kim, Sang Kyu Park and Kwangmin Hyun. "BER Performance of MIMO-OFDM Systems with I/Q Imbalances" Journal of Knowledge Information Technology and Systems 11, no.2 (2016) : 187-195.