High-order contrasts for independent component analysis
Neural Computation
Analysis of DFT-Based Channel Estimators for OFDM
Wireless Personal Communications: An International Journal
Wireless Communications
Non-redundant precoding and PAPR reduction in MIMO OFDM systems with ICA based blind equalization
IEEE Transactions on Wireless Communications
Advanced methods for I/Q imbalance compensation in communicationreceivers
IEEE Transactions on Signal Processing
Digital Compensation of I/Q Imbalance Effects in Space-Time Coded Transmit Diversity Systems
IEEE Transactions on Signal Processing
Blind OFDM channel estimation through simple linear precoding
IEEE Transactions on Wireless Communications
IEEE Transactions on Wireless Communications
Frequency offset and I/Q imbalance compensation for direct-conversion receivers
IEEE Transactions on Wireless Communications
Joint compensation of transmitter and receiver impairments in OFDM systems
IEEE Transactions on Wireless Communications
IEEE Transactions on Wireless Communications
IEEE Journal on Selected Areas in Communications
Wireless Personal Communications: An International Journal
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We propose a novel semi-blind compensation scheme for both frequency-dependent and frequency-independent I/Q imbalance based on independent component analysis (ICA) in multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems, where ICA is applied to compensate for I/Q imbalance and equalize the received signal jointly, without any spectral overhead. A reference signal is embedded in the transmitted signal with little power consumption and no spectral overhead introduced, to enable ambiguity elimination for the ICA output signal at the receiver. Moreover, channel interpolation is incorporated with layered space frequency equalization (LSFE) to enhance the system performance. Simulation results show that the proposed implicit compensation scheme can not only provide a better bit error rate (BER) performance and a higher bandwidth efficiency than the previous training based I/Q imbalance compensation method, but also outperform the ideal case with perfect channel state information (CSI) and no I/Q imbalance, due to additional frequency diversity.