Multi-user channel estimation for uplink OFDMA systems based on the random-set theory

For the uplink OFDMA systems,a random-set theory based multi-user channel estimation algorithm was proposed.In the proposed algorithm,states of the users the multi-path channels were modeled and described by a finite random set.Then the Bayes filtering was utilized to formulate the problem of multi-...

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Main Authors: Yuan JING, Bin NIU, Ying-ying TAI
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2012-01-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/1000-436X(2012)01-0089-07/
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author Yuan JING
Bin NIU
Ying-ying TAI
author_facet Yuan JING
Bin NIU
Ying-ying TAI
author_sort Yuan JING
collection DOAJ
description For the uplink OFDMA systems,a random-set theory based multi-user channel estimation algorithm was proposed.In the proposed algorithm,states of the users the multi-path channels were modeled and described by a finite random set.Then the Bayes filtering was utilized to formulate the problem of multi-user channel estimation.To obtain both the accepted channel estimation performance and low computational complexity,the Rao-Blackwellized particle filtering algorithm was applied to approximately solve this Bayes filtering problem with small number of particles.Simulation results show the effectiveness of the proposed algorithm.
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institution Kabale University
issn 1000-436X
language zho
publishDate 2012-01-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-f066ae08a7c74225ae8b49252d9c28952025-01-14T06:30:55ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2012-01-0133899559659508Multi-user channel estimation for uplink OFDMA systems based on the random-set theoryYuan JINGBin NIUYing-ying TAIFor the uplink OFDMA systems,a random-set theory based multi-user channel estimation algorithm was proposed.In the proposed algorithm,states of the users the multi-path channels were modeled and described by a finite random set.Then the Bayes filtering was utilized to formulate the problem of multi-user channel estimation.To obtain both the accepted channel estimation performance and low computational complexity,the Rao-Blackwellized particle filtering algorithm was applied to approximately solve this Bayes filtering problem with small number of particles.Simulation results show the effectiveness of the proposed algorithm.http://www.joconline.com.cn/zh/article/doi/1000-436X(2012)01-0089-07/OFDMA systemchannel estimationrandom setparticle filtering
spellingShingle Yuan JING
Bin NIU
Ying-ying TAI
Multi-user channel estimation for uplink OFDMA systems based on the random-set theory
Tongxin xuebao
OFDMA system
channel estimation
random set
particle filtering
title Multi-user channel estimation for uplink OFDMA systems based on the random-set theory
title_full Multi-user channel estimation for uplink OFDMA systems based on the random-set theory
title_fullStr Multi-user channel estimation for uplink OFDMA systems based on the random-set theory
title_full_unstemmed Multi-user channel estimation for uplink OFDMA systems based on the random-set theory
title_short Multi-user channel estimation for uplink OFDMA systems based on the random-set theory
title_sort multi user channel estimation for uplink ofdma systems based on the random set theory
topic OFDMA system
channel estimation
random set
particle filtering
url http://www.joconline.com.cn/zh/article/doi/1000-436X(2012)01-0089-07/
work_keys_str_mv AT yuanjing multiuserchannelestimationforuplinkofdmasystemsbasedontherandomsettheory
AT binniu multiuserchannelestimationforuplinkofdmasystemsbasedontherandomsettheory
AT yingyingtai multiuserchannelestimationforuplinkofdmasystemsbasedontherandomsettheory