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Erschienen in: Annals of Data Science 2/2018

06.09.2017

Equalization and Carrier Frequency Offset Compensation for Underwater Acoustic OFDM Systems

verfasst von: K. Ramadan, M. I. Dessouky, S. Elagooz, M. Elkordy, F. E. Abd El-Samie

Erschienen in: Annals of Data Science | Ausgabe 2/2018

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Abstract

Due to noise enhancement, conventional Zero Forcing (ZF) equalizers are not suitable for wireless Underwater Acoustic (UWA) Orthogonal Frequency Division Multiplexing (OFDM) communication systems. Furthermore, these systems suffer from increasing complexity due to the large number of subcarriers, especially in Multiple-Input Multiple-Output (MIMO) systems. On the other hand, the Minimum Mean Square Error equalizer suffers from high complexity. This type of equalizers needs an estimation of the operating Signal-to-Noise Ratio to work properly. In this paper, we propose a Joint Low-Complexity Regularized ZF equalizer for MIMO UWA-OFDM systems to cope with these problems. The main objective of the proposed equalizer is to enhance the system performance with a lower complexity by performing equalization in two steps. The co-channel interference can be mitigated in the first step. A regularization term is added in the second step to avoid the noise enhancement. Simulation results show that the proposed equalization scheme has the ability to enhance the UWA system performance with low complexity.

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Metadaten
Titel
Equalization and Carrier Frequency Offset Compensation for Underwater Acoustic OFDM Systems
verfasst von
K. Ramadan
M. I. Dessouky
S. Elagooz
M. Elkordy
F. E. Abd El-Samie
Publikationsdatum
06.09.2017
Verlag
Springer Berlin Heidelberg
Erschienen in
Annals of Data Science / Ausgabe 2/2018
Print ISSN: 2198-5804
Elektronische ISSN: 2198-5812
DOI
https://doi.org/10.1007/s40745-017-0127-y

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