Direct blind MMSE channel equalization based on second-orderstatistics
Shen, J.; Ding, Z.
Signal Processing, IEEE Transactions on
Volume 48, Issue 4, Apr 2000 Page(s):1015 - 1022
Digital Object Identifier 10.1109/78.827535
Summary:A family of new MMSE blind channel equalization algorithms based
on second-order statistics are proposed. Instead of estimating the
channel impulse response, we directly estimate the cross-correlation
function needed in Wiener-Hopf filters. We develop several different
schemes to estimate the cross-correlation vector, with which different
Wiener filters are derived according to minimum mean square error
(MMSE). Unlike many known sub-space methods, these equalization
algorithms do not rely on signal and noise subspace separation and are
consequently more robust to channel order estimation errors. Their
implementation requires no adjustment for either single- or
multiple-user systems. They can effectively equalize single-input
multiple-output (SIMO) systems and can reduce the multiple-input
multiple-output (MIMO) systems into a memoryless signal mixing system
for source separation. The implementations of these algorithms on SIMO
system are given, and simulation examples are provided to demonstrate
their superior performance over some existing algorithms
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