Least squares-based receive antenna selection for MIMO spatial multiplexing systems with linear receivers

In this letter, a novel receive antenna selection technique is proposed for multiple input multiple output (MIMO) spatial multiplexing systems with linear receivers in the presence of unknown interference. This antenna selection technique is directly implemented based on training sample sequence under the least squares (LS) criterion. It avoids the channel estimation and retain the diversity benefit by antenna selection in the presence of unknown multiple access interference (MAI). In addition, practical implementation with manageable complexity is made possible by extending the fast backward greedy algorithm (BGA) into the proposed antenna selection algorithm.