Uncoordinated multiuser/MIMO channel estimation using superimposed training
An iterative channel estimation and detection scheme is proposed for single carrier uncoordinated multi-user/multi-input multi-output (MIMO) system using superimposed training (ST). At first, the multiple antennas mutual interferences are eliminated by utilizing training sequences with all-zero cros...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2014-07-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.07.018/ |
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| _version_ | 1850096107593400320 |
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| author | Chun-quan HE Gao-qi DOU Jun GAO Gao-ming HUANG |
| author_facet | Chun-quan HE Gao-qi DOU Jun GAO Gao-ming HUANG |
| author_sort | Chun-quan HE |
| collection | DOAJ |
| description | An iterative channel estimation and detection scheme is proposed for single carrier uncoordinated multi-user/multi-input multi-output (MIMO) system using superimposed training (ST). At first, the multiple antennas mutual interferences are eliminated by utilizing training sequences with all-zero cross-correlation property, which are designed based on transform domain approach. The channel estimation is performed based on first-order statistics of the observa-tions in time domain. Then a joint iterative channel estimation and symbol detection method is addressed, where the de-tected sequences are used as additional “training sequence” to reduce the self-interferences from information sequences. Compared to the existing ST schemes, the new proposed scheme has more flexible training sequences, better channel mean square error (NCMSE) and BER performance at low SNR, but retains a lower computation complexity. Simulation results corroborate the effectiveness of the new scheme. |
| format | Article |
| id | doaj-art-c0ad2b6f3ad0400aa3ce0306f7a38b73 |
| institution | DOAJ |
| issn | 1000-436X |
| language | zho |
| publishDate | 2014-07-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-c0ad2b6f3ad0400aa3ce0306f7a38b732025-08-20T02:41:18ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2014-07-013515115659682909Uncoordinated multiuser/MIMO channel estimation using superimposed trainingChun-quan HEGao-qi DOUJun GAOGao-ming HUANGAn iterative channel estimation and detection scheme is proposed for single carrier uncoordinated multi-user/multi-input multi-output (MIMO) system using superimposed training (ST). At first, the multiple antennas mutual interferences are eliminated by utilizing training sequences with all-zero cross-correlation property, which are designed based on transform domain approach. The channel estimation is performed based on first-order statistics of the observa-tions in time domain. Then a joint iterative channel estimation and symbol detection method is addressed, where the de-tected sequences are used as additional “training sequence” to reduce the self-interferences from information sequences. Compared to the existing ST schemes, the new proposed scheme has more flexible training sequences, better channel mean square error (NCMSE) and BER performance at low SNR, but retains a lower computation complexity. Simulation results corroborate the effectiveness of the new scheme.http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.07.018/transform domain sequencessuperimposed trainingiterative channel estimation and detectionmultiple-input multiple-outputfrequency selective channel |
| spellingShingle | Chun-quan HE Gao-qi DOU Jun GAO Gao-ming HUANG Uncoordinated multiuser/MIMO channel estimation using superimposed training Tongxin xuebao transform domain sequences superimposed training iterative channel estimation and detection multiple-input multiple-output frequency selective channel |
| title | Uncoordinated multiuser/MIMO channel estimation using superimposed training |
| title_full | Uncoordinated multiuser/MIMO channel estimation using superimposed training |
| title_fullStr | Uncoordinated multiuser/MIMO channel estimation using superimposed training |
| title_full_unstemmed | Uncoordinated multiuser/MIMO channel estimation using superimposed training |
| title_short | Uncoordinated multiuser/MIMO channel estimation using superimposed training |
| title_sort | uncoordinated multiuser mimo channel estimation using superimposed training |
| topic | transform domain sequences superimposed training iterative channel estimation and detection multiple-input multiple-output frequency selective channel |
| url | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.07.018/ |
| work_keys_str_mv | AT chunquanhe uncoordinatedmultiusermimochannelestimationusingsuperimposedtraining AT gaoqidou uncoordinatedmultiusermimochannelestimationusingsuperimposedtraining AT jungao uncoordinatedmultiusermimochannelestimationusingsuperimposedtraining AT gaominghuang uncoordinatedmultiusermimochannelestimationusingsuperimposedtraining |