Multiuser Detection
On Limits of Wireless Communications in a Fading Environment when UsingMultiple Antennas
Wireless Personal Communications: An International Journal
On the sphere-decoding algorithm I. Expected complexity
IEEE Transactions on Signal Processing - Part I
Adaptive MIMO decision feedback equalization for receivers with time-varying channels
IEEE Transactions on Signal Processing
The finite-length multi-input multi-output MMSE-DFE
IEEE Transactions on Signal Processing
Space-time block codes from orthogonal designs
IEEE Transactions on Information Theory
A universal lattice code decoder for fading channels
IEEE Transactions on Information Theory
A simple transmit diversity technique for wireless communications
IEEE Journal on Selected Areas in Communications
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In this paper we propose an adaptive successive interference cancellation (SIC) strategy for multiple-input multiple-output (MIMO) spatial multiplexing systems based on multiple interference cancellation branches. The proposed detection structure employs SICs on several parallel branches which are equipped with different ordering patterns so that each branch produces a vector of estimate symbols by exploiting a certain ordering pattern. The novel detector, therefore, achieves higher detection diversity by selecting the branch which yields the estimates with best performance according to the selection rule. We consider two selection rules for the proposed detector, namely, maximum likelihood (ML), minimum mean square error (MMSE) criteria. An efficient adaptive receiver is developed to update the filter weight vectors and estimate the channel using the recursive least squares (RLS) algorithm. The simulation results reveal that our scheme successfully mitigates the error propagation and approaches the performance of the optimal ML detector, while requiring a significantly lower complexity than the ML and sphere decoder detectors.