%0 Book
%A He, Lin.
%E Amin, Moeness G.
%E Reed, Charles Jr.
%E Malkemes, Robert C.
%D 2004
%G English
%T A Hybrid Adaptive Blind Equalization Algorithm for QAM Signals in Wireless Communications.
%U http://ezproxy.villanova.edu/login?url=https://digital.library.villanova.edu/Item/vudl:173048
%X A hybrid adaptive channel equalization technique
for quadrature amplitude modulation (QAM) signals is proposed.
The proposed algorithm, which is referred to as the modified
constant modulus algorithm (MCMA), minimizes an error cost
function that includes both amplitude and phase of the equalizer
output. In addition to the amplitude-dependent term that is
provided by the conventional constant modulus algorithm (CMA),
the cost function includes an additive signal constellation matched
error (CME) term. This term can be designed to satisfy a set of
desirable properties. The MCMA is compared with the CMA
for blind equalization. The performance is measured for wireless
channels using both transient and steady-state behavior of the
mean square error (MSE). It is shown that MCMA is superior
and more robust in low signal-to-noise ratio (SNR) environments.
Simulation results demonstrate that using MCMA improves
adaptive channel equalization by increasing the convergence rate
and decreasing the steady-state mean square error.