A region-based algorithm for blind equalization of QAM signals

We propose a region-based multimodulus algorithm for blind equalization of high-order quadrature amplitude modulation (QAM) signals. It treats nonconstant modulus constellations as constant modulus ones, converging approximately to the Wiener solution. To avoid divergence, it rejects non-consistent...

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Bibliographic Details
Main Authors: Filho, J.M., Silva, M.T.M., Miranda, M.D., Nascimento, V.H.
Format: Conference Proceeding
Language:English
Subjects:
Adaptive equalizers
Additive white noise
AWGN
blind equalization
Blind equalizers
Computational efficiency
constant modulus algorithm
Convergence
Finite impulse response filter
Intersymbol interference
nonlinearities
Quadrature amplitude modulation
Steady-state
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Description
Summary:We propose a region-based multimodulus algorithm for blind equalization of high-order quadrature amplitude modulation (QAM) signals. It treats nonconstant modulus constellations as constant modulus ones, converging approximately to the Wiener solution. To avoid divergence, it rejects non-consistent estimates of the transmitted signal. When compared to existing blind multimodulus-type algorithms for equalization of QAM signals, it exhibits considerably lower misadjustment, faster convergence, good tracking capability, without compromising the computational cost. Its good behavior is illustrated through simulation results.
ISSN:2373-0803
2693-3551
DOI:10.1109/SSP.2009.5278484