High-order contrasts for independent component analysis
Neural Computation
Adaptive Blind Signal and Image Processing: Learning Algorithms and Applications
Adaptive Blind Signal and Image Processing: Learning Algorithms and Applications
Wireless Communications
Partial transmit sequences for peak-to-average power ratio reduction in multiantenna OFDM
EURASIP Journal on Wireless Communications and Networking - Multicarrier Systems
Comparison of selected mapping and partial transmit sequence for crest factor reduction in OFDM
MILCOM'06 Proceedings of the 2006 IEEE conference on Military communications
Blind Channel Estimation for MIMO OFDM Systems via Nonredundant Linear Precoding
IEEE Transactions on Signal Processing
On Superimposed Training for MIMO Channel Estimation and Symbol Detection
IEEE Transactions on Signal Processing
HOS-Based Semi-Blind Spatial Equalization for MIMO Rayleigh Fading Channels
IEEE Transactions on Signal Processing
Superimposed training for OFDM: a peak-to-average power ratio analysis
IEEE Transactions on Signal Processing - Part I
Blind OFDM channel estimation through simple linear precoding
IEEE Transactions on Wireless Communications
IEEE Transactions on Wireless Communications
Independent component analysis based semi-blind I/Q imbalance compensation for MIMO OFDM systems
IEEE Transactions on Wireless Communications
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We propose a non-redundant linear precoding scheme and three peak-to-average power ratio (PAPR) reduction schemes for multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems with independent component analysis (ICA) based blind equalization. The proposed precoding at the transmitter allows complete elimination of the ambiguity in the ICA equalized signals under certain conditions. The optimal design of precoding is investigated, and performance analysis on the ambiguity error probability is provided. The proposed PAPR reduction schemes are incorporated with precoding, and therefore do not introduce any spectral overhead compared to conventional PAPR reduction schemes. Simulation results show that the proposed blind structure provides a bit error rate (BER) performance which is much better than that of the subspace method, and close to the case with perfect channel state information (CSI) at the receiver. Furthermore, the proposed structure can reduce the PAPR of the transmit signals considerably.