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Classifier Based Low-Complexity MIMO Detection for Spatial Multiplexing Systems
 

Summary: Classifier Based Low-Complexity MIMO Detection
for Spatial Multiplexing Systems
C. R. N. Athaudage, M. Zhang, A. D. S. Jayalath, and T. D. Abhayapala
ARC Special Research Center for Ultra-Broadband Information Networks (CUBIN)
Department of Electrical and Electronic Engineering
University of Melbourne, Australia
Research School of Information Engineering
Australian National University, Canberra, Australia
School of Engineering Systems
Queensland University of Technology, Brisbane, Australia
Abstract-- 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 (ZF) or MMSE. On the other hand, equalizer-
based techniques perform relatively poor in terms of error

  

Source: Abhayapala, Thushara D. - Department of Information Engineering, Australian National University

 

Collections: Computer Technologies and Information Sciences