Constant modulus algorithm for blind equalization under impulsive noise environments
The presence of α stable distributed ambient channel noise in wireless systems can degrade the per-formance of existing constamt modulus（CM） equalizers.The problem of blind equalization in noisy communication channels was investigated by addressing the negative effects of heavy-tailed noise to the o...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2009-01-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/74651328/ |
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| author | GUO Ying1 QIU Tian-shuang1 TANG Hong1 PARK Yong-wan2 |
| author_facet | GUO Ying1 QIU Tian-shuang1 TANG Hong1 PARK Yong-wan2 |
| author_sort | GUO Ying1 |
| collection | DOAJ |
| description | The presence of α stable distributed ambient channel noise in wireless systems can degrade the per-formance of existing constamt modulus（CM） equalizers.The problem of blind equalization in noisy communication channels was investigated by addressing the negative effects of heavy-tailed noise to the original constant modulus algorithm based on a stochastic gradient descent（SGD-CMA）.Two modified algorithms were proposed.The first is robust CM algorithm based on SGD（SGD-RCMA） and the second is robust CM based on recursive least square（RLS-RCMA） novel methods are robust under both Gaussian and α stable distributed ambient noise environments.And compared to SGD-RCMA method,the RLS-RCMA method has a significantly faster convergence rate and more powerful ISI impressing ability. |
| format | Article |
| id | doaj-art-90b8f5740a41494a8bd69f2f9651d9cf |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2009-01-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-90b8f5740a41494a8bd69f2f9651d9cf2025-01-14T08:29:33ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2009-01-0130354074651328Constant modulus algorithm for blind equalization under impulsive noise environmentsGUO Ying1QIU Tian-shuang1TANG Hong1PARK Yong-wan2The presence of α stable distributed ambient channel noise in wireless systems can degrade the per-formance of existing constamt modulus（CM） equalizers.The problem of blind equalization in noisy communication channels was investigated by addressing the negative effects of heavy-tailed noise to the original constant modulus algorithm based on a stochastic gradient descent（SGD-CMA）.Two modified algorithms were proposed.The first is robust CM algorithm based on SGD（SGD-RCMA） and the second is robust CM based on recursive least square（RLS-RCMA） novel methods are robust under both Gaussian and α stable distributed ambient noise environments.And compared to SGD-RCMA method,the RLS-RCMA method has a significantly faster convergence rate and more powerful ISI impressing ability.http://www.joconline.com.cn/zh/article/74651328/blind equalizationconstant modulus algorithmrecursive least squares |
| spellingShingle | GUO Ying1 QIU Tian-shuang1 TANG Hong1 PARK Yong-wan2 Constant modulus algorithm for blind equalization under impulsive noise environments Tongxin xuebao blind equalization constant modulus algorithm recursive least squares |
| title | Constant modulus algorithm for blind equalization under impulsive noise environments |
| title_full | Constant modulus algorithm for blind equalization under impulsive noise environments |
| title_fullStr | Constant modulus algorithm for blind equalization under impulsive noise environments |
| title_full_unstemmed | Constant modulus algorithm for blind equalization under impulsive noise environments |
| title_short | Constant modulus algorithm for blind equalization under impulsive noise environments |
| title_sort | constant modulus algorithm for blind equalization under impulsive noise environments |
| topic | blind equalization constant modulus algorithm recursive least squares |
| url | http://www.joconline.com.cn/zh/article/74651328/ |
| work_keys_str_mv | AT guoying1 constantmodulusalgorithmforblindequalizationunderimpulsivenoiseenvironments AT qiutianshuang1 constantmodulusalgorithmforblindequalizationunderimpulsivenoiseenvironments AT tanghong1 constantmodulusalgorithmforblindequalizationunderimpulsivenoiseenvironments AT parkyongwan2 constantmodulusalgorithmforblindequalizationunderimpulsivenoiseenvironments |