Multi-user detection analysis via aitken-δ2 EM acceleration algorithm

Xian Jinlong; Li Jianwu

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

Multi-user detection analysis via aitken-δ² EM acceleration algorithm

Xian Jinlong^*, Li Jianwu

^*Corresponding author for this work

Henan University of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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 δ² 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- δ² acceleration algorithm has faster convergence than the standard EM algorithm, and we also illustrate the performance of simulation.

Original language	English
Title of host publication	Advanced Research on Automation, Communication, Architectonics and Materials
Pages	284-288
Number of pages	5
DOIs	https://doi.org/10.4028/www.scientific.net/AMR.225-226.284
Publication status	Published - 2011
Externally published	Yes
Event	2011 International Conference on Automation, Communication, Architectonics and Materials, ACAM2011 - Wuhan, China Duration: 18 Jun 2011 → 19 Jun 2011

Publication series

Name	Advanced Materials Research
Volume	225-226
ISSN (Print)	1022-6680

Conference

Conference	2011 International Conference on Automation, Communication, Architectonics and Materials, ACAM2011
Country/Territory	China
City	Wuhan
Period	18/06/11 → 19/06/11

Keywords

Aitke-δ accelerate algorithm
EM iterative algorithm
Multi-user detection

Access to Document

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

Cite this

@inproceedings{ffaee6ed6ffb4aa8b6a78c7683c4d796,

title = "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 δ2 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- δ2 acceleration algorithm has faster convergence than the standard EM algorithm, and we also illustrate the performance of simulation.",

keywords = "Aitke-δ accelerate algorithm, EM iterative algorithm, Multi-user detection",

author = "Xian Jinlong and Li Jianwu",

year = "2011",

doi = "10.4028/www.scientific.net/AMR.225-226.284",

language = "English",

isbn = "9783037851036",

series = "Advanced Materials Research",

pages = "284--288",

booktitle = "Advanced Research on Automation, Communication, Architectonics and Materials",

note = "2011 International Conference on Automation, Communication, Architectonics and Materials, ACAM2011 ; Conference date: 18-06-2011 Through 19-06-2011",

}

Jinlong, X & Jianwu, L 2011, Multi-user detection analysis via aitken-δ² EM acceleration algorithm. in Advanced Research on Automation, Communication, Architectonics and Materials. Advanced Materials Research, vol. 225-226, pp. 284-288, 2011 International Conference on Automation, Communication, Architectonics and Materials, ACAM2011, Wuhan, China, 18/06/11. https://doi.org/10.4028/www.scientific.net/AMR.225-226.284

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T1 - Multi-user detection analysis via aitken-δ2 EM acceleration algorithm

AU - Jinlong, Xian

AU - Jianwu, Li

PY - 2011

Y1 - 2011

N2 - 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 δ2 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- δ2 acceleration algorithm has faster convergence than the standard EM algorithm, and we also illustrate the performance of simulation.

AB - 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 δ2 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- δ2 acceleration algorithm has faster convergence than the standard EM algorithm, and we also illustrate the performance of simulation.

KW - Aitke-δ accelerate algorithm

KW - EM iterative algorithm

KW - Multi-user detection

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

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BT - Advanced Research on Automation, Communication, Architectonics and Materials

T2 - 2011 International Conference on Automation, Communication, Architectonics and Materials, ACAM2011

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