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IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, VOL. XX, NO. X, XXX 200X 1 MIMO ISI Channel Estimation Using Uncorrelated
 

Summary: IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, VOL. XX, NO. X, XXX 200X 1
MIMO ISI Channel Estimation Using Uncorrelated
Golay Complementary Sets of Polyphase Sequences
Shuangquan Wang, Member, IEEE, Ali Abdi, Senior Member, IEEE
Abstract-- In this paper, optimal training sequence design for
multiple input multiple output (MIMO) intersymbol interference
(ISI) channels is addressed and several novel low-complexity
channel estimators are proposed, using uncorrelated Golay com-
plementary sets of polyphase sequences1
. The theoretical analysis
and simulation show that when the additive noise is Gaussian,
the proposed best linear unbiased estimator (BLUE) achieves the
minimum possible classical Cram´er-Rao lower bound (CRLB),
if the channel coefficients are regarded as unknown determin-
istics. On the other hand, the proposed linear minimum mean
square error (LMMSE) estimator attains the minimum possible
Bayesian CRLB, when the underlying channel coefficients are
Gaussian and independent of the additive Gaussian noise. The
proposed channel estimators not only achieve the best estimation
performance, but also can be implemented with low complexity,

  

Source: Abdi, Ali - Department of Electrical and Computer Engineering, New Jersey Institute of Technology

 

Collections: Engineering