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

Abstract:

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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.

Info:

Periodical:

Advanced Materials Research (Volumes 225-226)

Edited by:

Helen Zhang, Gang Shen and David Jin

Pages:

284-288

DOI:

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

Citation:

J. L. Xian and J. W. Li, "Multi-User Detection Analysis via Aitken-δ2 EM Acceleration Algorithm", Advanced Materials Research, Vols. 225-226, pp. 284-288, 2011

Online since:

April 2011

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Price:

$35.00

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