Training Sequence-Aided QRM-MLD Block Signal Detection for Single-Carrier MIMO Spatial Multiplexing

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Executive Summary

The authors propose a Maximum Likelihood Block signal Detection using QR decomposition and M-algorithm (called QRMMLBD) for Training sequence-Aided Single-Carrier (TA-SC) Multi-Input Multi-Output (MIMO) spatial multiplexing. QRM-MLBD can significantly improve the Packet Error Rate (PER) performance of Cyclic Prefix-inserted Single-Carrier (CP-SC) MIMO spatial multiplexing when compared to the frequency-domain Minimum Mean Square Error (MMSE) detection. However, in order to achieve the sufficiently improved performance, the use of a fairly large number M of surviving paths in the M-algorithm is required because if smaller M is used, the probability of removing the correct path at early stages increases.

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