Low-complexity signal detection algorithm based on preconditioned conjugate gradient method
For large-scale multiple-input multiple-output system，minimum mean square error signal detection algorithm is near-optimal but involves matrix inversion，and complexity is growing exponentially. So less-complexity signal detection algorithm using preconditioned conjugate gradient method was proposed，...
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| Format: | Article |
| Language: | zho |
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Beijing Xintong Media Co., Ltd
2016-04-01
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| Series: | Dianxin kexue |
| Subjects: | |
| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2016092/ |
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| _version_ | 1841529856460849152 |
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| author | Hua QU Jing LIANG Jihong ZHAO Weihua WANG |
| author_facet | Hua QU Jing LIANG Jihong ZHAO Weihua WANG |
| author_sort | Hua QU |
| collection | DOAJ |
| description | For large-scale multiple-input multiple-output system，minimum mean square error signal detection algorithm is near-optimal but involves matrix inversion，and complexity is growing exponentially. So less-complexity signal detection algorithm using preconditioned conjugate gradient method was proposed，the algorithm reduced the condition number of matrix by pretreatment technology，thus speeding up the convergence rate of conjugate gradient signal detection algorithm. The simulation results show that the proposed algorithm can achieve the near-optimal bit error rate performance of minimum mean square error detection algorithm with a small number of iterations，and computation complexity reduces a order of magnitude. Compared with the conjugate gradient method，the proposed algorithm can quickly converge to the optimum value. |
| format | Article |
| id | doaj-art-168584dcf93c4f66837e05f5b085a60f |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2016-04-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-168584dcf93c4f66837e05f5b085a60f2025-01-15T03:15:01ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012016-04-0132303559609252Low-complexity signal detection algorithm based on preconditioned conjugate gradient methodHua QUJing LIANGJihong ZHAOWeihua WANGFor large-scale multiple-input multiple-output system，minimum mean square error signal detection algorithm is near-optimal but involves matrix inversion，and complexity is growing exponentially. So less-complexity signal detection algorithm using preconditioned conjugate gradient method was proposed，the algorithm reduced the condition number of matrix by pretreatment technology，thus speeding up the convergence rate of conjugate gradient signal detection algorithm. The simulation results show that the proposed algorithm can achieve the near-optimal bit error rate performance of minimum mean square error detection algorithm with a small number of iterations，and computation complexity reduces a order of magnitude. Compared with the conjugate gradient method，the proposed algorithm can quickly converge to the optimum value.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2016092/large-scale multiple-input multiple-outputconjugate gradient methodminimum mean square error |
| spellingShingle | Hua QU Jing LIANG Jihong ZHAO Weihua WANG Low-complexity signal detection algorithm based on preconditioned conjugate gradient method Dianxin kexue large-scale multiple-input multiple-output conjugate gradient method minimum mean square error |
| title | Low-complexity signal detection algorithm based on preconditioned conjugate gradient method |
| title_full | Low-complexity signal detection algorithm based on preconditioned conjugate gradient method |
| title_fullStr | Low-complexity signal detection algorithm based on preconditioned conjugate gradient method |
| title_full_unstemmed | Low-complexity signal detection algorithm based on preconditioned conjugate gradient method |
| title_short | Low-complexity signal detection algorithm based on preconditioned conjugate gradient method |
| title_sort | low complexity signal detection algorithm based on preconditioned conjugate gradient method |
| topic | large-scale multiple-input multiple-output conjugate gradient method minimum mean square error |
| url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2016092/ |
| work_keys_str_mv | AT huaqu lowcomplexitysignaldetectionalgorithmbasedonpreconditionedconjugategradientmethod AT jingliang lowcomplexitysignaldetectionalgorithmbasedonpreconditionedconjugategradientmethod AT jihongzhao lowcomplexitysignaldetectionalgorithmbasedonpreconditionedconjugategradientmethod AT weihuawang lowcomplexitysignaldetectionalgorithmbasedonpreconditionedconjugategradientmethod |