@inproceedings{78bb067c65574145839182cd45b3ca10,
title = "BLIND EQUALIZATION OF MOVING AVERAGE CHANNELS OVER GALOIS FIELDS",
abstract = "We consider the blind estimation/equalization of a Moving Average (MA) channel over a finite field. In this framework, the channel's input and output signals, as well as its coefficients, belong to a finite (Galois) field, and all summation and multiplication operations are calculated modulo the field's prime order. The input is assumed to be a sequence of independent, identically distributed (iid) samples with an unknown distribution, and the goal is to estimate the channel coefficients based on its observed output only. We derive two different estimation approaches: One is based on sequential identification of factors of the channel's associated polynomial; The other is based on an attempted factorization of the empirical characteristic function of the channel's output signal. We explain the trade-offs between the methods and demonstrate their performance by simulation.",
keywords = "Blind Equalization, Blind System Identification, Galois Fields, Moving Average, Polynomial Factorization",
author = "Arie Yeredor",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE; 47th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 ; Conference date: 23-05-2022 Through 27-05-2022",
year = "2022",
doi = "https://doi.org/10.1109/ICASSP43922.2022.9747587",
language = "الإنجليزيّة",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "5887--5891",
booktitle = "2022 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 - Proceedings",
address = "الولايات المتّحدة",
}