Classifier Based Low-Complexity MIMO Detection for Spatial Multiplexing Systems
In this paper, we propose a low complexity detection scheme for MIMO systems incorporating spatial multiplexing. Optimal detection schemes such as maximum-likelihood (ML) detection of MIMO signals demands computational resources that are beyond the capabilities of most practical systems. Alternative reduced complexity MIMO detection techniques have been proposed, but the complexity of algorithmic schemes are in general much higher than that of the equalizer-based techniques, e.g. zero-forcing...[Show more]
|Collections||ANU Research Publications|
|Source:||Proceedings of the Australian Communications Theory Workshop (AusCTW 2008)|
|01_Athaudage_Classifier_Based_2008.pdf||282.7 kB||Adobe PDF|
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