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Multi-user Detection Based on the ECM Iterative Algorithm in Gaussian Noise

  • Jinlong XianEmail author
  • Zhi Liu
Conference paper
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 168)

Abstract

Generally, it is easier to compute the derivation and maximization of the full-likelihood expectation than the calculations of incompletely data maximizing likelihood function. In some cases, even if it is easy to find the full-likelihood expectation, it is difficult to achieve the maximization of the full-likelihood expectation. So a novel approach for multi-user detection based on the ECM iterative algorithm is proposed. Compared with the EM algorithm, the ECM algorithm reduces the computational complexity of the M-step. The results show that the proposed algorithm has well performance and Convergence in Gaussian noise.

Keywords

Multi-user detection EM algorithm ECM iterative algorithm 

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Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.College of Information Science and EngineeringHenan University of TechnologyZhengzhouP.R. China

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