Multi-user detection under wireless channel
This paper gives a synchronized multi-user detection algorithm based on the ML(maximum likelihood) criterion, which is deduced from the standard VA (Viterbi algorithm). This algorithm can realize the recursive computation through the constructed metric recursive function and the renewed branch trans...
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| Published in | 2009 IEEE International Conference on Communication Technology and Applications pp. 581 - 585 |
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| Main Authors | , |
| Format | Conference Proceeding |
| Language | English |
| Published |
IEEE
01.10.2009
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| Subjects | |
| Online Access | Get full text |
| ISBN | 1424448166 9781424448166 |
| DOI | 10.1109/ICCOMTA.2009.5349134 |
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| Abstract | This paper gives a synchronized multi-user detection algorithm based on the ML(maximum likelihood) criterion, which is deduced from the standard VA (Viterbi algorithm). This algorithm can realize the recursive computation through the constructed metric recursive function and the renewed branch transferring metric. The algorithm can be used in the multi-user receiver when the channel information is known a prior. Simulation results show that the offered algorithm is the optimal algorithm, and can apparently reduce the bit error probability compared to the standard matrix detection algorithm under the condition that the decoding complexity is improved. |
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| AbstractList | This paper gives a synchronized multi-user detection algorithm based on the ML(maximum likelihood) criterion, which is deduced from the standard VA (Viterbi algorithm). This algorithm can realize the recursive computation through the constructed metric recursive function and the renewed branch transferring metric. The algorithm can be used in the multi-user receiver when the channel information is known a prior. Simulation results show that the offered algorithm is the optimal algorithm, and can apparently reduce the bit error probability compared to the standard matrix detection algorithm under the condition that the decoding complexity is improved. |
| Author | Junde Song Jun Yang |
| Author_xml | – sequence: 1 surname: Jun Yang fullname: Jun Yang organization: Lab. of Comput. network, Beijing Univ. of Posts & Telecommun., Beijing, China – sequence: 2 surname: Junde Song fullname: Junde Song organization: Lab. of Comput. network, Beijing Univ. of Posts & Telecommun., Beijing, China |
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| Snippet | This paper gives a synchronized multi-user detection algorithm based on the ML(maximum likelihood) criterion, which is deduced from the standard VA (Viterbi... |
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| StartPage | 581 |
| SubjectTerms | aggregated state transferring cumulative metric Decision support systems Multi-path memory channel Multi-user detection Multiuser detection Viterbi Algorithm |
| Title | Multi-user detection under wireless channel |
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