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An efficient algorithm for improving precision of multi-cell channel estimation systems

A new multi-cell joint channel estimation technique for uplink TD-SCDMA system is proposed. The Channel impulse responses of the serving cell and the effective neighboring cell users will process jointly. The new technique adopts the singular value decomposition criterion to reduce the rank order of...

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Main Authors: Marzook, Ali Kamil, A., Ismail, Mohd Ali, Borhanuddin, Sali, Aduwati, Khatun, Sabira
Format: Article
Language:English
Published: Elsevier 2012
Online Access:http://psasir.upm.edu.my/id/eprint/43028/1/An%20Efficient%20Algorithm%20for%20Improving%20Precision%20of%20Multi-Cell%20Channel%20Estimation%20Systems.pdf
http://psasir.upm.edu.my/id/eprint/43028/
http://www.sciencedirect.com/science/article/pii/S1877705812025726
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spelling my.upm.eprints.430282016-05-04T03:06:28Z http://psasir.upm.edu.my/id/eprint/43028/ An efficient algorithm for improving precision of multi-cell channel estimation systems Marzook, Ali Kamil A., Ismail Mohd Ali, Borhanuddin Sali, Aduwati Khatun, Sabira A new multi-cell joint channel estimation technique for uplink TD-SCDMA system is proposed. The Channel impulse responses of the serving cell and the effective neighboring cell users will process jointly. The new technique adopts the singular value decomposition criterion to reduce the rank order of the system channel matrix. Depending on a limited number of the real parameters that need it to describe the channel matrix, the estimation process will be efficient and the reduced rank technique can significantly improve the channel estimation accuracy. Simulation results show clearly that the proposed reduced rank estimator can significantly improve the channel estimation accuracy for multi-cell networks under rank-deficient consideration. The mean square error (MSE) measure has shown the validity performance of the proposed estimator over the conventional estimators. In addition, the correlation coefficient measures of the reduced rank estimators have shown slightly the superiority of the proposed technique. Elsevier 2012 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/43028/1/An%20Efficient%20Algorithm%20for%20Improving%20Precision%20of%20Multi-Cell%20Channel%20Estimation%20Systems.pdf Marzook, Ali Kamil and A., Ismail and Mohd Ali, Borhanuddin and Sali, Aduwati and Khatun, Sabira (2012) An efficient algorithm for improving precision of multi-cell channel estimation systems. Procedia Engineering, 41. pp. 367-376. ISSN 1877-7058 http://www.sciencedirect.com/science/article/pii/S1877705812025726 10.1016/j.proeng.2012.07.186
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description A new multi-cell joint channel estimation technique for uplink TD-SCDMA system is proposed. The Channel impulse responses of the serving cell and the effective neighboring cell users will process jointly. The new technique adopts the singular value decomposition criterion to reduce the rank order of the system channel matrix. Depending on a limited number of the real parameters that need it to describe the channel matrix, the estimation process will be efficient and the reduced rank technique can significantly improve the channel estimation accuracy. Simulation results show clearly that the proposed reduced rank estimator can significantly improve the channel estimation accuracy for multi-cell networks under rank-deficient consideration. The mean square error (MSE) measure has shown the validity performance of the proposed estimator over the conventional estimators. In addition, the correlation coefficient measures of the reduced rank estimators have shown slightly the superiority of the proposed technique.
format Article
author Marzook, Ali Kamil
A., Ismail
Mohd Ali, Borhanuddin
Sali, Aduwati
Khatun, Sabira
spellingShingle Marzook, Ali Kamil
A., Ismail
Mohd Ali, Borhanuddin
Sali, Aduwati
Khatun, Sabira
An efficient algorithm for improving precision of multi-cell channel estimation systems
author_facet Marzook, Ali Kamil
A., Ismail
Mohd Ali, Borhanuddin
Sali, Aduwati
Khatun, Sabira
author_sort Marzook, Ali Kamil
title An efficient algorithm for improving precision of multi-cell channel estimation systems
title_short An efficient algorithm for improving precision of multi-cell channel estimation systems
title_full An efficient algorithm for improving precision of multi-cell channel estimation systems
title_fullStr An efficient algorithm for improving precision of multi-cell channel estimation systems
title_full_unstemmed An efficient algorithm for improving precision of multi-cell channel estimation systems
title_sort efficient algorithm for improving precision of multi-cell channel estimation systems
publisher Elsevier
publishDate 2012
url http://psasir.upm.edu.my/id/eprint/43028/1/An%20Efficient%20Algorithm%20for%20Improving%20Precision%20of%20Multi-Cell%20Channel%20Estimation%20Systems.pdf
http://psasir.upm.edu.my/id/eprint/43028/
http://www.sciencedirect.com/science/article/pii/S1877705812025726
_version_ 1643833445260984320
score 13.211869

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