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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Bibliographic Details
Published in:IEEE signal processing letters 2006-11, Vol.13 (11), p.657-660
Main Authors: Shuangquan Wang, Abdi, A.
Format: Article
Language:English
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
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Summary: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
ISSN:1070-9908
1558-2361
DOI:10.1109/LSP.2006.876344