Low complexity signal detection algorithm based on Newton iterative algorithm
In order to solve the problems of high computational complexity and slow convergence rate of ultra-massive MIMO detection in terahertz communication system, the low complexity signal detection algorithm based on Newton iterative algorithm was proposed.By improving the initial matrix and adding step...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2022-02-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2022035/ |
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| _version_ | 1841539990430941184 |
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| author | Gang LIU Zengjin LOU Qinhua LIN Yi GUO |
| author_facet | Gang LIU Zengjin LOU Qinhua LIN Yi GUO |
| author_sort | Gang LIU |
| collection | DOAJ |
| description | In order to solve the problems of high computational complexity and slow convergence rate of ultra-massive MIMO detection in terahertz communication system, the low complexity signal detection algorithm based on Newton iterative algorithm was proposed.By improving the initial matrix and adding step factor in Newton iteration algorithm, the complexity of the algorithm was reduced, and the convergence speed was increased.By adding adjusting factors, the stability and reliability of the algorithm were guaranteed, and the applicability of the algorithm was also increased.Simulation results show that the proposed algorithm have lower computational complexity and faster convergence speed compared with traditional schemes.When the number of iterations is three, the detection performance is close to MMSE algorithm. |
| format | Article |
| id | doaj-art-b9d4da3deeff46388033be81fa2bb0a4 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2022-02-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-b9d4da3deeff46388033be81fa2bb0a42025-01-14T06:29:31ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2022-02-014310911759394363Low complexity signal detection algorithm based on Newton iterative algorithmGang LIUZengjin LOUQinhua LINYi GUOIn order to solve the problems of high computational complexity and slow convergence rate of ultra-massive MIMO detection in terahertz communication system, the low complexity signal detection algorithm based on Newton iterative algorithm was proposed.By improving the initial matrix and adding step factor in Newton iteration algorithm, the complexity of the algorithm was reduced, and the convergence speed was increased.By adding adjusting factors, the stability and reliability of the algorithm were guaranteed, and the applicability of the algorithm was also increased.Simulation results show that the proposed algorithm have lower computational complexity and faster convergence speed compared with traditional schemes.When the number of iterations is three, the detection performance is close to MMSE algorithm.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2022035/terahertz communicationultra-massive MIMOsignal detectionstep factor |
| spellingShingle | Gang LIU Zengjin LOU Qinhua LIN Yi GUO Low complexity signal detection algorithm based on Newton iterative algorithm Tongxin xuebao terahertz communication ultra-massive MIMO signal detection step factor |
| title | Low complexity signal detection algorithm based on Newton iterative algorithm |
| title_full | Low complexity signal detection algorithm based on Newton iterative algorithm |
| title_fullStr | Low complexity signal detection algorithm based on Newton iterative algorithm |
| title_full_unstemmed | Low complexity signal detection algorithm based on Newton iterative algorithm |
| title_short | Low complexity signal detection algorithm based on Newton iterative algorithm |
| title_sort | low complexity signal detection algorithm based on newton iterative algorithm |
| topic | terahertz communication ultra-massive MIMO signal detection step factor |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2022035/ |
| work_keys_str_mv | AT gangliu lowcomplexitysignaldetectionalgorithmbasedonnewtoniterativealgorithm AT zengjinlou lowcomplexitysignaldetectionalgorithmbasedonnewtoniterativealgorithm AT qinhualin lowcomplexitysignaldetectionalgorithmbasedonnewtoniterativealgorithm AT yiguo lowcomplexitysignaldetectionalgorithmbasedonnewtoniterativealgorithm |