EURASIP Journal on Wireless Communications and Networking - Multicarrier Systems
GLCP OFDM systems with I/Q imbalance
IEEE Communications Letters
Analysis and compensation of transmitter IQ imbalances in OFDMA and SC-FDMA systems
IEEE Transactions on Signal Processing
CIIT '07 The Sixth IASTED International Conference on Communications, Internet, and Information Technology
On the effect of I/Q imbalance on MIMO transmit-receive diversity systems
WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
Cross-Validation Estimation for Frequency-Dependent I/Q Imbalance in MIMO-OFDM Receivers
Journal of Signal Processing Systems
Low-complexity OFDM channel estimation in the presence of I/Q imbalance and phase noise
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Joint estimation of I/Q imbalance, CFO and channel response for MIMO OFDM systems
IEEE Transactions on Communications
Analysis and compensation of I/Q imbalance in MIMO transmit-receive diversity systems
IEEE Transactions on Communications
Reduced-complexity baseband compensation of joint Tx/Rx I/Q imbalance in mobile MIMO-OFDM
IEEE Transactions on Wireless Communications
MIMO OFDM systems with digital RF impairment compensation
Signal Processing
IEEE Transactions on Wireless Communications
Decoupled compensation of IQ imbalance in MIMO OFDM systems
Signal Processing
Wireless Personal Communications: An International Journal
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Orthogonal frequency division multiplexing (OFDM) is a widely recognized modulation scheme for high data rate communications. However, the implementation of OFDM-based systems suffers from in-phase and quadrature-phase (IQ) imbalances in the front-end analog processing. Such imbalances are caused by the analog processing of the received radio frequency (RF) signal, and they cannot be efficiently or entirely eliminated in the analog domain. The resulting IQ distortion limits the achievable operating SNR at the receiver and, consequently, the achievable data rates. The issue of IQ imbalances is even more severe at higher SNR and higher carrier frequencies. In this paper, the effect of IQ imbalances on multi-input multioutput (MIMO) OFDM systems is studied, and a framework for combating such distortions through digital signal processing is developed. An input–output relation governing MIMO OFDM systems is derived. The framework is used to design receiver algorithms with compensation for IQ imbalances. It is shown that the complexity of the system at the receiver grows from dimension$(n_Rtimes n_T)$for ideal IQ branches to$(2n_Rtimes 2n_T)$in the presence of IQ imbalances. However, by exploiting the structure of space-time block codes along with the distortion models, one can obtain efficient receivers that are robust to IQ imbalances. Simulation results show significant improvement in the achievable BER of the proposed MIMO receivers for space-time block-coded OFDM systems in the presence of IQ imbalances.