Abstract
This study proposes a super-low-complexity detection scheme to control the surviving symbols at each stage of near-maximum-likelihood detection for MIMO-OFDM systems. The new scheme can reduce not only the number of surviving symbol replica candidates at each stage, but also the number of Euclidian distance calculations required for selecting each surviving symbol replica candidate. The former is implemented by adaptively controlling the number of survived candidates according to the estimated level of interference plus noise while the latter is performed by a quadrant detection method. Simulation results show that the proposed scheme has a much lower complexity than that of conventional approaches.
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