Widely linear estimation algorithms for second-order stationary signals
IEEE Transactions on Signal Processing
Improved linear transmit processing for single-user and multi-user MIMO communications systems
IEEE Transactions on Signal Processing
A virtual layered space-frequency communication architecture with iterative decoding
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Widely linear MMSE receivers for linear dispersion space-time block-codes
IEEE Transactions on Wireless Communications
Widely linear prediction for transfer function models based on the infinite past
Computational Statistics & Data Analysis
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A new class of receivers based on widely linear data processing has been recently proposed for data detection in communication systems affected by improper complex noise. In this paper, it is shown that this detection strategy may be applied to wireless communication systems employing multiple transmit and receive antennas and adopting a noncircular modulation. Improved versions of the linear decorrelating and minimum mean square error (mmse) receivers, and of the nonlinear ing and cancellation (V-BLAST) receiver are, thus, developed and analyzed. In particular, we show that the improved receivers outperform the conventional ones both in terms of the error probability and of the capacity to cope with the power disparities that the fading channel may induce on the data streams transmitted by different antennas. Moreover, the improved receivers exhibit satisfactory performance also in systems with a number of transmit antennas exceeding the number of receive antennas. Finally, we also consider the situation in which the propagation channel is not perfectly known to the receiver, and show that the performance of the improved receivers is less sensitive to the channel estimation errors than the conventional receivers.