A sub-optimum a-posteriori probability (APP) detector is proposed for iterative joint detection/decoding in a multiple-input multiple-output (MIMO) wireless communication system employing an outer code. The proposed detector searches inside a given sphere in a parallel manner to simultaneously find a list of m-best points based on an additive metric. The metric is formed by combining the channel output and the a-priori information. The parallel structure of the proposed method is suitable for hardware parallelization. The radius of the sphere and the value of m are selected according to the channel condition to reduce the complexity. Numerical results are provided showing a significant reduction in the average complexity (for a similar performance and peak complexity) as compared to the best earlier known method. The proposed scheme is applied for the decoding of the rate 2, 4 times 2 MIMO code employed in the 802.16e standard
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MIMO systems,encoding,iterative decoding,maximum likelihood decoding,maximum likelihood detection,radiocommunication,coded MIMO systems,hardware parallelization,iterative joint detection-decoding,multiple-input multiple-output,parallel soft spherical detection,sub-optimum a-posteriori probability detector,wireless communication system