TY - GEN
T1 - A New Blind Adaptive Equalization Method
AU - Pinchas, Monika
AU - Noy, Elad
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - This paper presents a new blind adaptive equalization method based on the cost function approach. A polynomial function of order three is used in this study as the error that is sent into the equalizer's update mechanism, as is the case for Godard's algorithm (constant modulus algorithm) and the modified constant modulus algorithm, also named the multi-modulus algorithm (MMA). But, unlike them, the coefficients of the polynomial function of order three are obtained via the step-size parameter for which the blind adaptive equalizer is deep in its convergence state, as was previously presented by the same author. In addition, those coefficients are optimized with the mean square error (MSE) criteria. The outcomes of the simulation will demonstrate that the equalization performance of our suggested approach is superior to the MMA algorithm for the 16 quadrature amplitude modulation (16QAM) input for various channels and signal-to-noise ratio (SNR) values down to 15 [dB].
AB - This paper presents a new blind adaptive equalization method based on the cost function approach. A polynomial function of order three is used in this study as the error that is sent into the equalizer's update mechanism, as is the case for Godard's algorithm (constant modulus algorithm) and the modified constant modulus algorithm, also named the multi-modulus algorithm (MMA). But, unlike them, the coefficients of the polynomial function of order three are obtained via the step-size parameter for which the blind adaptive equalizer is deep in its convergence state, as was previously presented by the same author. In addition, those coefficients are optimized with the mean square error (MSE) criteria. The outcomes of the simulation will demonstrate that the equalization performance of our suggested approach is superior to the MMA algorithm for the 16 quadrature amplitude modulation (16QAM) input for various channels and signal-to-noise ratio (SNR) values down to 15 [dB].
KW - blind adaptive deconvolution
KW - blind adaptive equalization
KW - cost function
UR - https://www.scopus.com/pages/publications/85150774914
U2 - 10.1109/CISDS57597.2022.00028
DO - 10.1109/CISDS57597.2022.00028
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AN - SCOPUS:85150774914
T3 - Proceedings - 2022 International Conference on Frontiers of Communications, Information System and Data Science, CISDS 2022
SP - 128
EP - 132
BT - Proceedings - 2022 International Conference on Frontiers of Communications, Information System and Data Science, CISDS 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 International Conference on Frontiers of Communications, Information System and Data Science, CISDS 2022
Y2 - 25 November 2022 through 27 November 2022
ER -