Equalization and carrier phase recovery of CMA and MMA in blind adaptive receivers

JT Yuan, TC Lin - IEEE Transactions on Signal Processing, 2010 - ieeexplore.ieee.org
This paper derives general formulae for normalized error surface curvatures by using the
constant modulus algorithm (CMA), the multimodulus algorithm (MMA), and two well known …

OF-FSE: An efficient adaptive equalization for QAM-based UAV modulation systems

L Zhang, Z Wang, G Zheng - Drones, 2023 - mdpi.com
Quadrature amplitude modulation (QAM) is one of the essential components of unmanned 1
aerial vehicle (UAV) communications. However, the output signal accuracy of QAM …

A particle swarm optimization based training algorithm for MCMA blind adaptive equalizer

J Sahu, S Majumder - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
An equalizer is a device that performs the reverse operation of the fading channel to mitigate
the effect of inter-symbol interference (ISI) and nonlinearity. In contrast to conventional …

Performance analysis and adaptive Newton algorithms of multimodulus blind equalization criterion

XL Li, WJ Zeng - Signal processing, 2009 - Elsevier
This paper studies the stationary points of the multimodulus blind equalization criterion in a
noiseless communication channel and proposes two adaptive Newton algorithms. It is …

Effect of channel noise on blind equalization and carrier phase recovery of CMA and MMA

JT Yuan, JH Chao, TC Lin - IEEE transactions on …, 2012 - ieeexplore.ieee.org
This work investigates the effect of channel noise on the performances of the constant
modulus algorithm (CMA), the multimodulus algorithm (MMA), and a phase tracker (PT) …

A new efficient expression for the conditional expectation of the blind adaptive deconvolution problem valid for the entire range ofSignal-to-Noise ratio

M Pinchas - Entropy, 2019 - mdpi.com
In the literature, we can find several blind adaptive deconvolution algorithms based on
closed-form approximated expressions for the conditional expectation (the expectation of the …

A blind equalization algorithm based on minimization of normalized variance for DS/CDMA communications

F Benedetto, G Giunta… - IEEE transactions on …, 2008 - ieeexplore.ieee.org
This paper proposes a blind equalizer that pursues the maximization of a novel objective
function. It consists of the ratio between the square of the mean signal power and the …

A signal processing algorithm for multi-constant modulus equalization

G Giunta, F Benedetto - 2013 36th International Conference on …, 2013 - ieeexplore.ieee.org
This work introduces an adaptive equalizer, namely the multi-constant modulus algorithm
(MCMA), for blind equalization of QAM signals. The novelty of our approach is to combine …

The Residual ISI for Which the Convolutional Noise Probability Density Function Associated with the Blind Adaptive Deconvolution Problem Turns Approximately …

M Pinchas - Entropy, 2022 - mdpi.com
In a blind adaptive deconvolution problem, the convolutional noise observed at the output of
the deconvolution process, in addition to the required source signal, is—according to the …

A double-DD blind equalizer for PolMux QAM optical coherent systems

Z Zhou, Y Zhan, X Ruan, Q Cai, G Cui, G Zhu - Optics Communications, 2017 - Elsevier
In polarization-multiplexed (PolMux) coherent system, adaptive blind equalization is efficient
in demultiplexing and mitigating inter-symbol interference (ISI). We propose a double …