Performance analysis of a MOE blind adaptive space-time multiuser detection algorithm
A novel space-time multi-user detection algorithm was proposed, which combined a power of covariance matrix R technique with MOE blind adaptive space-time multi-user detection. Moreover, the performance of the improved MOE blind space-time multi-user detector was analyzed, according to the effect of...
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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/74668377/ |
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| _version_ | 1841537264346202112 |
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| author | LU Ling-yun XIAO Yang |
| author_facet | LU Ling-yun XIAO Yang |
| author_sort | LU Ling-yun |
| collection | DOAJ |
| description | A novel space-time multi-user detection algorithm was proposed, which combined a power of covariance matrix R technique with MOE blind adaptive space-time multi-user detection. Moreover, the performance of the improved MOE blind space-time multi-user detector was analyzed, according to the effect of white noise, data sample number and positive integer u in cost function. The theoretic analysis and simulation results show that the performance of the novel multi-user detection method asymptotically converge to the MMSE blind space-time multi-user detector on condition that smaller noise variance, larger enough data sample number and u → ∞ . |
| format | Article |
| id | doaj-art-4975e7eebe3e42f4b4b13abdac5e5cdf |
| 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-4975e7eebe3e42f4b4b13abdac5e5cdf2025-01-14T08:41:45ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2005-01-01465274668377Performance analysis of a MOE blind adaptive space-time multiuser detection algorithmLU Ling-yunXIAO YangA novel space-time multi-user detection algorithm was proposed, which combined a power of covariance matrix R technique with MOE blind adaptive space-time multi-user detection. Moreover, the performance of the improved MOE blind space-time multi-user detector was analyzed, according to the effect of white noise, data sample number and positive integer u in cost function. The theoretic analysis and simulation results show that the performance of the novel multi-user detection method asymptotically converge to the MMSE blind space-time multi-user detector on condition that smaller noise variance, larger enough data sample number and u → ∞ .http://www.joconline.com.cn/zh/article/74668377/space-time multiuser detectionminimum output energyblind adaptiveantenna arraymulti-input-multi- output |
| spellingShingle | LU Ling-yun XIAO Yang Performance analysis of a MOE blind adaptive space-time multiuser detection algorithm Tongxin xuebao space-time multiuser detection minimum output energy blind adaptive antenna array multi-input-multi- output |
| title | Performance analysis of a MOE blind adaptive space-time multiuser detection algorithm |
| title_full | Performance analysis of a MOE blind adaptive space-time multiuser detection algorithm |
| title_fullStr | Performance analysis of a MOE blind adaptive space-time multiuser detection algorithm |
| title_full_unstemmed | Performance analysis of a MOE blind adaptive space-time multiuser detection algorithm |
| title_short | Performance analysis of a MOE blind adaptive space-time multiuser detection algorithm |
| title_sort | performance analysis of a moe blind adaptive space time multiuser detection algorithm |
| topic | space-time multiuser detection minimum output energy blind adaptive antenna array multi-input-multi- output |
| url | http://www.joconline.com.cn/zh/article/74668377/ |
| work_keys_str_mv | AT lulingyun performanceanalysisofamoeblindadaptivespacetimemultiuserdetectionalgorithm AT xiaoyang performanceanalysisofamoeblindadaptivespacetimemultiuserdetectionalgorithm |