An Efficient Soft-Output MIMO Detection Method Based on a Multiple-Channel-Ordering Technique
In this paper, the authors propose an efficient soft-output signal detection method for spatially multiplexed Multiple-Input Multiple-Output (MIMO) systems. The proposed method is based on the Ordered Successive Interference Cancellation (OSIC) algorithm, but it significantly improves the performance of the original OSIC algorithm by solving the error propagation problem. The proposed method combines this enhanced OSIC algorithm with a multiple-channel-ordering technique in a very efficient way. As a result, the log likelihood ratio values can be computed by using a very small set of candidate symbol vectors.