DocumentCode :
3715859
Title :
Partial Fractional Fourier Transform (PFRFT)-OFDM for underwater acoustic communication
Author :
Yixin Chen;Carmine Clemente;John J. Soraghan;Stephan Weiss
Author_Institution :
Centre for Excellence in Signal and Image Processing (CeSIP), University of Strathclyde, Royal College Building, 204 George Street, Glasgow, UK
fYear :
2015
Firstpage :
364
Lastpage :
368
Abstract :
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 new Partial Fractional Fourier (PFrFT) based orthogonal frequency division multiplex (OFDM) scenario is presented for dealing with such challenges. A band minimum mean square error (BMMSE) weight combining equalizer based on Least Square MINRES (LSMR) iterative algorithm is used in the proposed communication system. Simulation results demonstrate significant BER performance improvements (up to 8dB) over traditional orthogonal based methods and those considering Partial FFT demodulation, and Discrete Fractional Fourier Transform (DFrFT) with only a moderate computational complexity increase.
Keywords :
"OFDM","Complexity theory","Fourier transforms","Equalizers","Demodulation","Signal to noise ratio","Bit error rate"
Publisher :
ieee
Conference_Titel :
Signal Processing Conference (EUSIPCO), 2015 23rd European
Electronic_ISBN :
2076-1465
Type :
conf
DOI :
10.1109/EUSIPCO.2015.7362406
Filename :
7362406
Link To Document :
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