Historical information based iterative soft Kalman time-varying channel estimation method
For high-speed mobile MIMO-OFDM systems,a historical information based iterative soft-Kalman filter time-varying channel estimation method was proposed.Considering that the channels experienced by different trains in the high-speed railway environment have strong correlation,the channel information...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
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Beijing Xintong Media Co., Ltd
2020-09-01
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| Series: | Dianxin kexue |
| Subjects: | |
| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2020038/ |
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| _version_ | 1841528978756599808 |
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| author | Lu CHENG Lihua YANG Zenghao WANG Jie ZHANG Yan LIANG |
| author_facet | Lu CHENG Lihua YANG Zenghao WANG Jie ZHANG Yan LIANG |
| author_sort | Lu CHENG |
| collection | DOAJ |
| description | For high-speed mobile MIMO-OFDM systems,a historical information based iterative soft-Kalman filter time-varying channel estimation method was proposed.Considering that the channels experienced by different trains in the high-speed railway environment have strong correlation,the channel information of the historical train was firstly used to obtain the optimal basis function,which can be employed to model the channel.By the optimal basis function,the computational complexity was reduced and the channel estimation accuracy was improved for the proposed method.Secondly,the soft-Kalman filter and data detection were jointed to estimate the base coefficient in each iteration.To reduce the effect of data detection error propagation on the channel estimation,the soft data detection scheme was employed and the soft detection error was treated as noise in each iteration.In addition,the soft-Kalman filter used in the proposed method does not involve the AR model tracking factor,thereby avoiding the computational complexity introduced by the estimated tracking factor.The simulation results show that the proposed method has better estimation performance,and is more suitable for time-varying channel acquisition of actual high-speed mobile scenarios. |
| format | Article |
| id | doaj-art-f74318bc63004604b7b179da2be2602c |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2020-09-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-f74318bc63004604b7b179da2be2602c2025-01-15T03:27:32ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012020-09-0136233159812110Historical information based iterative soft Kalman time-varying channel estimation methodLu CHENGLihua YANGZenghao WANGJie ZHANGYan LIANGFor high-speed mobile MIMO-OFDM systems,a historical information based iterative soft-Kalman filter time-varying channel estimation method was proposed.Considering that the channels experienced by different trains in the high-speed railway environment have strong correlation,the channel information of the historical train was firstly used to obtain the optimal basis function,which can be employed to model the channel.By the optimal basis function,the computational complexity was reduced and the channel estimation accuracy was improved for the proposed method.Secondly,the soft-Kalman filter and data detection were jointed to estimate the base coefficient in each iteration.To reduce the effect of data detection error propagation on the channel estimation,the soft data detection scheme was employed and the soft detection error was treated as noise in each iteration.In addition,the soft-Kalman filter used in the proposed method does not involve the AR model tracking factor,thereby avoiding the computational complexity introduced by the estimated tracking factor.The simulation results show that the proposed method has better estimation performance,and is more suitable for time-varying channel acquisition of actual high-speed mobile scenarios.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2020038/MIMO-OFDMhigh-speed mobilitytime-varying channel estimationhistorical informationsoft-Kalman filteriterative channel estimation |
| spellingShingle | Lu CHENG Lihua YANG Zenghao WANG Jie ZHANG Yan LIANG Historical information based iterative soft Kalman time-varying channel estimation method Dianxin kexue MIMO-OFDM high-speed mobility time-varying channel estimation historical information soft-Kalman filter iterative channel estimation |
| title | Historical information based iterative soft Kalman time-varying channel estimation method |
| title_full | Historical information based iterative soft Kalman time-varying channel estimation method |
| title_fullStr | Historical information based iterative soft Kalman time-varying channel estimation method |
| title_full_unstemmed | Historical information based iterative soft Kalman time-varying channel estimation method |
| title_short | Historical information based iterative soft Kalman time-varying channel estimation method |
| title_sort | historical information based iterative soft kalman time varying channel estimation method |
| topic | MIMO-OFDM high-speed mobility time-varying channel estimation historical information soft-Kalman filter iterative channel estimation |
| url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2020038/ |
| work_keys_str_mv | AT lucheng historicalinformationbasediterativesoftkalmantimevaryingchannelestimationmethod AT lihuayang historicalinformationbasediterativesoftkalmantimevaryingchannelestimationmethod AT zenghaowang historicalinformationbasediterativesoftkalmantimevaryingchannelestimationmethod AT jiezhang historicalinformationbasediterativesoftkalmantimevaryingchannelestimationmethod AT yanliang historicalinformationbasediterativesoftkalmantimevaryingchannelestimationmethod |