MIMO-OFDM Transmission Using Complexity Reduced Near ML Detection
نویسندگان
چکیده
Abstract—QR decomposition and M-algorithm based near maximum likelihood detection (QRM-MLD) is a promising detection scheme for multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM). However, QRM-MLD requires still high computational complexity. Recently, we proposed a complexity reduced 2-step QRM-MLD for single-carrier (SC) block transmissions. The complexity reduction is achieved by identifying unreliable symbol candidates and pruning them from the tree using the output of minimum mean square error based frequency-domain equalization (MMSE-FDE). The detection order is known to affect the achievable transmission performance. In this paper, we introduce the detection ordering to 2-step QRM-MLD for the application to MIMO-OFDM. We show, by computer simulation, the average packet error rate (PER) performance of 2-step QRM-MLD using the detection ordering to discuss the impact of detection ordering. We also show that 2-step QRM-MLD using the detection ordering can reduce the complexity compared to QRM-MLD while keeping the same PER performance.
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