MMSE-OSIC2 Signal Detection for Spatially Multiplexed MIMO Systems

In spatially multiplexed MIMO systems that enable high-data-rate transmission over wireless communication channels, spatial demultiplexing at the receiver is a challenging task. Thus, various demultiplexing methods have been developed by many researchers. In this paper, a novel signal detection method that achieves near-ML performance in a computationally efficient manner is proposed. The proposed method is based on the well-known minimum mean squared error (MMSE) ordered successive interference cancellation (OSIC) method. However, unlike the conventional MMSE-OSIC, a number of candidates are selected at each layer, hence, it has been termed MMSEOSIC with Candidates (MMSE-OSIC). In this study, it is demonstrated via a series of computer simulations that the MMSE-OSIC achieves near-ML performance while requiring a complexity comparable to that of the conventional MMSEOSIC. Also shown here is that the log likelihood ratio (LLR) values are successfully generated via the proposed method.