New detection algorithms based on the jointly Gaussian approach and successive interference cancelation for iterative MIMO systems

A new detection algorithm based on the jointly Gaussian approach (JGA) and successive interference cancelation (SIC), named the SIC-JGA algorithm, is proposed for iterative MIMO systems. Both the a priori symbol estimates of the undetected layers and the a posteriori symbol estimates of the previously detected layers are used in the SIC process. To reduce the complexity of covariance matrix inversion in the proposed algorithm, simplified algorithms named S-SIC-JGA are investigated for both the single path and multipath block fading channels under M Phase Shift Keying modulations. A detailed complexity analysis is presented for both the SIC-JGA and S-SIC-JGA algorithms. Numerical results exhibit that the system using the SIC-JGA algorithm outperforms the JGA algorithm, with an additional complexity for determining the detection order of SIC. The S-SIC-JGA algorithm has a much lower complexity compared with the SIC-JGA algorithm while experiencing an acceptable system performance degradation. Proper detection algorithms can be chosen in different iterations to balance the system performance and the detection complexity. Copyright (C) 2012 John Wiley & Sons, Ltd.