Abstract
Sphere decoders (SDs) are known to provide near maximum-likelihood performance in multiple-input multiple-output systems. But their ability to provide good error performance has not evinced any interest in large antenna systems because of their very high complexity. However, if the number of erroneous dimensions can be made low, say by some pre-processing, we can use SD for those dimensions. This could potentially improve the error performance at a reasonable complexity. To identify such dimensions, we present a multipath matching pursuit-based approach. Simulation results show that compared to existing algorithms, the proposed approach can provide a significant improvement in error performance.
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