Column-anchored zeroforcing blind equalization for multiuserwireless FIR channels
Jie Zhu; Zhi Ding; Xi-Ren Cao
Selected Areas in Communications, IEEE Journal on
Volume 17, Issue 3, Mar 1999 Page(s):411 - 423
Digital Object Identifier 10.1109/49.753727
Summary:We propose a direct blind zeroforcing approach to cancel
intersymbol interference (ISI) in multiple user finite impulse response
(FIR) channels. By selectively anchoring columns of the channel
convolution matrix, we present two column-anchored zeroforcing
equalizers (CAZE), one without output delay and one with a chosen delay.
Unlike many known blind identification algorithms, these equalizers do
not need an accurate estimate of the channel orders. Exploiting
second-order statistics (SOS) of the received signals, they can retain
preselected d columns in the channel convolution matrix (d is the number
of users) and force the remaining columns to zero. CAZE can effectively
equalize single-input-multiple-output (SIMO) systems and can reduce
dynamic multiple-input-multiple-output (MIMO) systems into a memoryless
signal mixing system for source separation. Simulation results show that
the CAZE is not only effective for blind equalization of linear
quadrature amplitude modulation (QAM) systems, but it is also applicable
to the nonlinear GMSK modulation in the popular wireless GSM systems
when computational cost severely limits the use of nonlinear methods
such as the Viterbi algorithm
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