Abstract:

Based on the grouped signals and iterative detections, both parallel and serial iterative detectors are proposed for multipleinput multipleoutput (MIMO) wireless systems. The iterative detectors use the soft information obtained from last detection to get the mean of the interference signals and the coefficients of the whitening filter. Thus the iterative detector can greatly reduce the biterror rate. Between the iterations, the random grouping algorithm can further reduce the biterror rate. Simulation shows that the maximum parallel iterative groups a posterior detector (PIGMAP) and has a good balance between the system performance and the detection delay and the complexity. So PIGMAP will be a promising choice in practice use.

Key words: multipleultiple;output systems, iterative detection, successive interf     erence cancellation, parallel interference cancellation