Improving the convergence property of DFE using the deterministic blind channel estimation
A blind decision feedback equalizer （DFE） algorithm was proposed. The subspace method which was based on the second-order statistics （SOS） was employed to give the parametric estimation of channels unsupervised. The DFE was initialized optimally in the sense of MMSE using the estimated channel coeff...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2005-01-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/74667923/ |
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| _version_ | 1841537209664012288 |
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| author | QIAO Yan-tao ZHANG Li-jun |
| author_facet | QIAO Yan-tao ZHANG Li-jun |
| author_sort | QIAO Yan-tao |
| collection | DOAJ |
| description | A blind decision feedback equalizer （DFE） algorithm was proposed. The subspace method which was based on the second-order statistics （SOS） was employed to give the parametric estimation of channels unsupervised. The DFE was initialized optimally in the sense of MMSE using the estimated channel coefficients. In the comparison with the conventional DFE with training sequence, the proposed algorithm has meaningful advantages in coping with the abrupt time-variance of channels by re-initialization during communication. The ill-convergence of DFE is avoided. |
| format | Article |
| id | doaj-art-a066a4805d9f440e9c4ce5157bef48aa |
| 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-a066a4805d9f440e9c4ce5157bef48aa2025-01-14T08:42:29ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2005-01-01748074667923Improving the convergence property of DFE using the deterministic blind channel estimationQIAO Yan-taoZHANG Li-junA blind decision feedback equalizer （DFE） algorithm was proposed. The subspace method which was based on the second-order statistics （SOS） was employed to give the parametric estimation of channels unsupervised. The DFE was initialized optimally in the sense of MMSE using the estimated channel coefficients. In the comparison with the conventional DFE with training sequence, the proposed algorithm has meaningful advantages in coping with the abrupt time-variance of channels by re-initialization during communication. The ill-convergence of DFE is avoided.http://www.joconline.com.cn/zh/article/74667923/decision feedback equalizerblind channel estimationblind equalizationsubspace methodsingle-input multiple output |
| spellingShingle | QIAO Yan-tao ZHANG Li-jun Improving the convergence property of DFE using the deterministic blind channel estimation Tongxin xuebao decision feedback equalizer blind channel estimation blind equalization subspace method single-input multiple output |
| title | Improving the convergence property of DFE using the deterministic blind channel estimation |
| title_full | Improving the convergence property of DFE using the deterministic blind channel estimation |
| title_fullStr | Improving the convergence property of DFE using the deterministic blind channel estimation |
| title_full_unstemmed | Improving the convergence property of DFE using the deterministic blind channel estimation |
| title_short | Improving the convergence property of DFE using the deterministic blind channel estimation |
| title_sort | improving the convergence property of dfe using the deterministic blind channel estimation |
| topic | decision feedback equalizer blind channel estimation blind equalization subspace method single-input multiple output |
| url | http://www.joconline.com.cn/zh/article/74667923/ |
| work_keys_str_mv | AT qiaoyantao improvingtheconvergencepropertyofdfeusingthedeterministicblindchannelestimation AT zhanglijun improvingtheconvergencepropertyofdfeusingthedeterministicblindchannelestimation |