scholarly journals A Novel Fractional Fourier Transform-Based ASK-OFDM System for Underwater Acoustic Communications

2017 ◽  
Vol 7 (12) ◽  
pp. 1286 ◽  
Author(s):  
Rami Ashri ◽  
Heba Shaban ◽  
Mohamad El-Nasr
Keyword(s):  
Fourier Transform ◽  
Fractional Fourier Transform ◽  
Underwater Acoustic Communications ◽  
Ofdm System ◽  
Acoustic Communications ◽  
Underwater Acoustic

An OFDM System for Long-Range Underwater Acoustic Communications

2013 ◽  
Vol 321-324 ◽  
pp. 1274-1277 ◽  
Author(s):  
Xiao Lin Shi ◽  
Yi Xin Yang ◽  
Long Yang
Keyword(s):  
Orthogonal Frequency Division Multiplexing ◽  
Data Stream ◽  
Underwater Acoustic Communications ◽  
Frequency Division ◽  
Ofdm System ◽  
Acoustic Communications ◽  
Underwater Acoustic ◽  
Frequency Domain Equalization ◽  
Convolutional Coding ◽  
Simulation Results

The Orthogonal Frequency Division Multiplexing (OFDM) technique is an effective method for suppressing multi-paths interference of underwater acoustic (UWA) channels. In this paper, a new communication system based on OFDM is presented, aiming at reliable 70km shallow water communications. The convolutional coding and frequency-domain equalization are also applied for the improvement of the OFDM system performance. The simulation results show that this proposed system can transmit data stream with low bit error rate (BER) in 70km UWA distance.

scholarly journals Partial Fractional Fourier Transform (PFrFT)-MIMO-OFDM for Known Underwater Acoustic Communication Channels

Information ◽  
2021 ◽  
Vol 12 (11) ◽  
pp. 469
Author(s):  
Yixin Chen ◽  
Carmine Clemente ◽  
John J. Soraghan
Keyword(s):  
Fractional Fourier Transform ◽  
Minimum Mean Square Error ◽  
Underwater Acoustic Communication ◽  
Underwater Acoustic Communications ◽  
Intercarrier Interference ◽  
Ofdm System ◽  
Doubly Selective Channels ◽  
Underwater Acoustic ◽  
Channel Information ◽  
Mimo Ofdm

Communication over doubly selective channels (both time and frequency selective) suffers from significant intercarrier interference (ICI). This problem is severe in underwater acoustic communications. In this paper, a novel partial fractional (PFrFT)-MIMO-OFDM system is proposed and implemented to further mitigate ICI. A new iterative band minimum mean square error (BMMSE) weight combining based on LDLH factorization is used in a scenario of perfect knowledge of channel information. The proposed method is extended from SISO-OFDM configuration to MIMO-OFDM. Simulation results demonstrate that the proposed PFrFT-LDLH outperforms the other methods in the SISO-OFDM scenario and that its performance can be improved in MIMO-OFDM scenarios.

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