Blind interference suppression for MC-CDMA system with transmit diversity

Blind interference suppression for multicarrier CDMA (MC-CDMA) system was investigated, in which space-time block coding based transmit diversity was used. It was considered that the fading coefficients corresponding to subcarriers were discrete Fourier transform of multipath coefficients. By invest...

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Main Authors: HU Bing, LI Ping-an, YU Bian-zhang
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2005-01-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/74670197/
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author HU Bing
LI Ping-an
YU Bian-zhang
author_facet HU Bing
LI Ping-an
YU Bian-zhang
author_sort HU Bing
collection DOAJ
description Blind interference suppression for multicarrier CDMA (MC-CDMA) system was investigated, in which space-time block coding based transmit diversity was used. It was considered that the fading coefficients corresponding to subcarriers were discrete Fourier transform of multipath coefficients. By investigating the code space in frequency domain and the data vector space of the multipath signals, the noise-subspace-based approach was used to perform blind channel estimation. To suppress multiuser access interference (MAI), a projection-based auxiliary vector (PAV) algorithm was proposed. The algorithm has low computation complexity. It can provide efficient interference suppression with low input signal-to-interference-and-noise ratio (SINR), and shows robust performance with high input SINR.
format Article
id doaj-art-f01428e6054842e7ac5fa1445b71e186
institution Kabale University
issn 1000-436X
language zho
publishDate 2005-01-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-f01428e6054842e7ac5fa1445b71e1862025-01-14T08:42:40ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2005-01-01313674670197Blind interference suppression for MC-CDMA system with transmit diversityHU BingLI Ping-anYU Bian-zhangBlind interference suppression for multicarrier CDMA (MC-CDMA) system was investigated, in which space-time block coding based transmit diversity was used. It was considered that the fading coefficients corresponding to subcarriers were discrete Fourier transform of multipath coefficients. By investigating the code space in frequency domain and the data vector space of the multipath signals, the noise-subspace-based approach was used to perform blind channel estimation. To suppress multiuser access interference (MAI), a projection-based auxiliary vector (PAV) algorithm was proposed. The algorithm has low computation complexity. It can provide efficient interference suppression with low input signal-to-interference-and-noise ratio (SINR), and shows robust performance with high input SINR.http://www.joconline.com.cn/zh/article/74670197/MC-CDMAspace-time codingblind interference suppressionchannel estimation
spellingShingle HU Bing
LI Ping-an
YU Bian-zhang
Blind interference suppression for MC-CDMA system with transmit diversity
Tongxin xuebao
MC-CDMA
space-time coding
blind interference suppression
channel estimation
title Blind interference suppression for MC-CDMA system with transmit diversity
title_full Blind interference suppression for MC-CDMA system with transmit diversity
title_fullStr Blind interference suppression for MC-CDMA system with transmit diversity
title_full_unstemmed Blind interference suppression for MC-CDMA system with transmit diversity
title_short Blind interference suppression for MC-CDMA system with transmit diversity
title_sort blind interference suppression for mc cdma system with transmit diversity
topic MC-CDMA
space-time coding
blind interference suppression
channel estimation
url http://www.joconline.com.cn/zh/article/74670197/
work_keys_str_mv AT hubing blindinterferencesuppressionformccdmasystemwithtransmitdiversity
AT lipingan blindinterferencesuppressionformccdmasystemwithtransmitdiversity
AT yubianzhang blindinterferencesuppressionformccdmasystemwithtransmitdiversity