Low-Complexity Optimal Estimation of MIMO ISI Channels With Binary Training Sequences
In this letter, a novel low-complexity optimal channel estimator using uncorrelated periodic complementary sets of binary sequences is proposed for multiple-input multiple-output (MIMO) intersymbol interference (ISI) channels. The estimator is optimal since it attains the minimum possible Crameacute...
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| Veröffentlicht in: | IEEE signal processing letters 2006-11, Vol.13 (11), p.657-660 |
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| container_title | IEEE signal processing letters |
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| creator | Shuangquan Wang Abdi, A. |
| description | In this letter, a novel low-complexity optimal channel estimator using uncorrelated periodic complementary sets of binary sequences is proposed for multiple-input multiple-output (MIMO) intersymbol interference (ISI) channels. The estimator is optimal since it attains the minimum possible Crameacuter-Rao lower bound (CRLB). Moreover, it can be implemented with very low complexity via ASIC/FPGA, which makes it suitable and ready for practical MIMO systems |
| doi_str_mv | 10.1109/LSP.2006.876344 |
| format | Article |
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| ispartof | IEEE signal processing letters, 2006-11, Vol.13 (11), p.657-660 |
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| language | eng |
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| source | IEEE Electronic Library (IEL) |
| subjects | Application specific integrated circuits Binary sequences Channel estimation Channels Convolution Estimators Fading Field programmable gate arrays Frequency estimation frequency-selective channel Interference Intersymbol interference intersymbol interference (ISI) Lower bounds MIMO multiple-input multiple-output (MIMO) Optimization Peak to average power ratio Signal processing Training uncorrelated complementary sets |
| title | Low-Complexity Optimal Estimation of MIMO ISI Channels With Binary Training Sequences |
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