Title of article
PAPR Reduction in OFDM UOWC System employing Repetitive Clipping and Filtering (RCF) method
Author/Authors
Norsabbaghi ، B. Department of Electrical Engineering - University of Guilan , Baghersalimi ، G. Department of Electrical Engineering - University of Guilan , Pouralizadeh ، A. Department of Electrical Engineering - University of Guilan , Mohammadian ، O. Department of Electrical Engineering - University of Guilan
From page
301
To page
310
Abstract
Background and Objectives: High peak-to-average power ratio (PAPR) in Orthogonal Frequency Division Multiplexing (OFDM)-based Underwater Optical Wireless Communication (UOWC) systems is one of the most important reasons for out-of-band power and in-band distortion leading to the declination of system performance. Therefore, different approaches have been suggested and implemented for decreasing high PAPR of OFDM signals in UOWC systems that is the main aim of this paper.Methods: In this research, the performance of an OFDM-based UOWC system is investigated by employing Repetitive Clipping and Filtering (RCF) technique in clear open ocean water. The Monte Carlo Modeling of Light (MCML) approach with the Henyey Greenstein (HG) model of the scattering phase function is used to simulate the UOWC channel. Results: First, the CCDF performance of the suggested system with RCF method for different CR values is investigated. Also, the proposed system performance is examined in terms of bit error rate (BER) and error vector magnitude (EVM) at two different depths for link lengths of 1m and 5 m.Conclusion: The results showed that the system performance is limited by increasing the link length, the number of subcarriers, and depth. Also, it is shown that the RCF method significantly leads to reduction of the PAPR in the DCO-OFDM UWOC system and enhance BER performance up to 10 dB.
Keywords
OFDM , UOWC , PAPR , RCF method
Journal title
Journal of Electrical and Computer Engineering Innovations (JECEI)
Journal title
Journal of Electrical and Computer Engineering Innovations (JECEI)
Record number
2739748
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