Method and System for Approximate Maximum Likelihood (ML) Detection in a Multiple Input Multiple Output (MIMO) Receiver

摘要

Aspects of a method and system for approximate maximum likelihood (ML) detection in a multiple input multiple output (MIMO) receiver may comprise computing soft decision values for bits that may be decoded from a received signal vector by utilizing approximate ML detection. The soft decision values may be computed for at least a portion bits carried within a received signal vector by decomposing a candidate constellation vector into segments, with each dimension representing a spatial stream signal. After decomposition, soft decision values for at least a portion of the bits may be computed by selecting values in a search dimension and computing values in a plurality of slice dimensions. Values within the search dimension may be determined by selecting constellation points within a constellation map for the search dimension. Values within each slice dimension may be computed for each selected constellation point.