@inproceedings{cce972b611364264aa3ae065fb6c3664,
title = "Frequency channel equalization based on variable step-size LMS algorithm for OFDM underwater communications",
abstract = "In this paper, we intend to improve the performance of the least mean square (LMS) channel equalization in terms of bit error rate (BER) and mean square error (MSE) for orthogonal frequency division multiplexing (OFDM) underwater acoustic (UWA) communications by establishing a nonlinear function relationship between the step-size and the error signal. By ignoring the intersymbol interference (ISI), we propose to consider the frequency LMS channel equalizer in OFDM communication systems as a combination of many parallel single tap frequency domain subequalizers, and thus each subcarrier is individually equalized. The proposed method improves the equalization performance sufficiently in comparison with the existing ones by using large step-sizes initially to improve the convergence rate and small step-sizes that change slowly to match with small error signals. Simulation results demonstrate the superiority of the proposed method. ",
keywords = "Adaptive channel equalization, Least mean square, Orthogonal frequency division multiplexing, Underwater acoustic communication",
author = "Zeping Sui and Shefeng Yan",
year = "2020",
month = jan,
day = "16",
doi = "10.1109/ICSPCC46631.2019.8960813",
language = "English",
isbn = "9781728117096",
series = "IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC): Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "Proceedings of the IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2019",
address = "United States",
note = "IEEE International Conference on Signal Processing, Communications and Computing 2019, ICSPCC 2019 ; Conference date: 20-09-2019 Through 22-09-2019",
}