Efficient detection algorithms for MIMO channels: a geometrical approach to approximate ML detection
IEEE Transactions on Signal Processing
On the sphere-decoding algorithm I. Expected complexity
IEEE Transactions on Signal Processing - Part I
A universal lattice code decoder for fading channels
IEEE Transactions on Information Theory
IEEE Journal on Selected Areas in Communications
A stochastic MIMO radio channel model with experimental validation
IEEE Journal on Selected Areas in Communications
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We develop an efficient hard-detector for multiple-input multiple-output (MIMO) channels, which adaptively combines maximum-likelihood detection (MLD) and minimum-mean-square-error (MMSE) with a successive interference canceler (SIC) together. Unlike the conventional joint combination scheme which may suffer from considerable degradation in bit-error-rate (BER) performance over correlated channels and where only one data stream is detected by MLD, our proposed scheme adaptively controls the number of data streams to be detected by MLD based on the analytical characterization of reliability for the detection. Simulation results illustrate that near-optimal BER performance can be obtained at much lower computational complexity by the proposed method as compared to existing techniques, regardless of the spatial correlation of the MIMO channels.