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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| Main Authors: | , |
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| Format: | Article |
| Language: | zho |
| Published: |
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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| Summary: | 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 → ∞ . |
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| ISSN: | 1000-436X |