Research on Doppler and Channel Estimation for Multicarrier Spread Spectrum Underwater Acoustic Communication System

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Abstract:

Spreadspectrum orthogonal frequency-division multiplexing (SS-OFDM), which appliesspread spectrum technique into OFDM, performs robustly in severely multipathfading underwater channels. However, this technology is sensitive to thefrequency shift. Furthermore, communication in underwater acoustic (UWA)channels is more vulnerable to Doppler effect than other wireless channels dueto the low speed of acoustic signal propagation. It presents challenges forcommunication between underwater mobile nodes. Therefore, accurate Dopplerfrequency shift estimation and compensation is important. Aself-designed receiver structure for SS-OFDM system including a novel Dopplerscale estimation method and channel estimation via compressed sensing method isproposed. The simulation and experimental results offer strong proofs for ourscheme to be a viable option for acoustic communication between underwatermobile nodes and compressed sensing method outperforms the conventionalleast-squares (LS) method in channel estimation.

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Periodical:

Advanced Materials Research (Volumes 1079-1080)

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752-756

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December 2014

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© 2015 Trans Tech Publications Ltd. All Rights Reserved

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[1] A. Jamshidi, Direct sequence spread spectrum point-to-point communication scheme in underwater acoustic sparse channels, IET communications 5(4) (2011) 456-466.

DOI: 10.1049/iet-com.2010.0031

Google Scholar

[2] M. Stojanovic, Low complexity OFDM detector for underwater acoustic channels, in: Proc. OCEANS 2006, 2006, pp.1-6.

DOI: 10.1109/oceans.2006.307057

Google Scholar

[3] B. Li, S. Zhou, M. Stojanovic, P. Willett, Multicarrier communication over underwater acoustic channels with nonuniform Doppler shifts, IEEE Journal of Oceanic Engineering, 33(2) (2008) 198-209.

DOI: 10.1109/joe.2008.920471

Google Scholar

[4] A. Kamali, M. R. Aghabozorgi Sahaf, A. M. Doost Hosseini, A. A. Tadaion, A low complexity DFT-matrix based pilot allocation algorithm for sparse channel estimation in OFDM systems, AEU-International Journal of Electronics and Communications, 62(2) (2014).

DOI: 10.1016/j.aeue.2013.07.005

Google Scholar

[5] J. A. Tropp, A. C. Gilbert, Signal recovery from random measurements via orthogonal matching pursuit, IEEE Transactions on Information Theory, 53(12) (2007) 4655-4666.

DOI: 10.1109/tit.2007.909108

Google Scholar