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Low-Complexity Optimal Estimation of MIMO ISI Channels With Binary Training Sequences

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2 Author(s)
S. Wang ; Center for Wireless Commun. & Signal Process. Res., New Jersey Inst. of Technol. ; A. Abdi

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

Published in:

IEEE Signal Processing Letters  (Volume:13 ,  Issue: 11 )