Multi-User Detection Analysis via Aitken-δ2 EM Acceleration Algorithm

Jin Long Xian; Jian Wu Li

doi:10.4028/www.scientific.net/AMR.225-226.284

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 225-226Multi-User Detection Analysis via Aitken-δ2 EM...

Multi-User Detection Analysis via Aitken-δ² EM Acceleration Algorithm

Abstract:

The EM iterative algorithm is commonly used in recent years for missing data, which has the character of easy and popular applicability. But the EM algorithm has a fatal weakness that the convergence speed is slowly; Acceleration of the EM algorithm using the Aitken method is proposed in order to solve this problem.In Multi-user Detection, via this accelerated algorithm, we get a good performance which trends to ML performance, and compared its speed of convergence with the EM algorithm that Aitken-acceleration algorithm has faster convergence than the standard EM algorithm, and we also illustrate the performance of simulation.

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Periodical:

Advanced Materials Research (Volumes 225-226)

Pages:

284-288

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.225-226.284

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Online since:

April 2011

Authors:

Jin Long Xian, Jian Wu Li

Keywords:

Aitke-δ² Accelerate Algorithm, EM Iterative Algorithm, Multi-User Detection

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