Matrix analysis and applied linear algebra
Matrix analysis and applied linear algebra
On Limits of Wireless Communications in a Fading Environment when UsingMultiple Antennas
Wireless Personal Communications: An International Journal
Closed-Form Estimators for Blind Separation of Sources – Part II: Complex Mixtures
Wireless Personal Communications: An International Journal
ICA of Complex Valued Signals: A Fast and Robust Deflationary Algorithm
IJCNN '00 Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 3 - Volume 3
Modern Wireless Communication
A blind signal separation method for multiuser communications
IEEE Transactions on Signal Processing
Layered space-time equalization for wireless MIMO systems
IEEE Transactions on Wireless Communications
Blind OFDM channel estimation through simple linear precoding
IEEE Transactions on Wireless Communications
IEEE Transactions on Wireless Communications
Wireless Personal Communications: An International Journal
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This paper proposes two novel blind receivers for multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) wireless communication systems using independent component analysis (ICA). They increase the spectral efficiency compared to conventional systems, without any training/pilot data required. The first proposed receiver, termed ICA-MMSE, uses ICA in one subcarrier of OFDM and a linear minimum mean squared error (MMSE) approach to unmix the remaining subcarriers. The second proposed receiver, termed ICA-MMSE+SIC, uses ICA-MMSE as a first stage and iterative successive interference cancellation (SIC) as a second stage to improve the performance. Simulations show that ICA-MMSE+SIC can obtain performance close to the case with perfect channel knowledge at the receiver and both methods outperform a previously proposed ICA based method considerably.