Space–Frequency Block Coding for Underwater Acoustic Communications

In this paper, Alamouti space-frequency block coding, applied over the carriers of an orthogonal frequency-division multiplexing (OFDM) system, is considered for obtaining transmit diversity in an underwater acoustic channel. This technique relies on the assumptions that there is sufficient spatial diversity between the channels of the two transmitters, and that each channel changes slowly over the carriers, thus satisfying the basic Alamouti coherence requirement and allowing simple data detection. We propose an adaptive channel estimation method based on Doppler prediction and time smoothing, whose decision-directed operation allows for reduction in the pilot overhead. System performance is demonstrated using real data transmitted in the 10-15-kHz acoustic band from a vehicle moving at 0.5-2 m/s and received over a shallow-water channel, using quadrature phase-shift keying (QPSK) and a varying number of carriers ranging from 64 to 1024. Results demonstrate an average mean squared error gain of about 2 dB as compared to the single-transmitter case and an order of magnitude decrease in the bit error rate when the number of carriers is chosen optimally.

[1]  Milica Stojanovic,et al.  Selective decision directed channel estimation for UWA OFDM systems , 2011, 2011 49th Annual Allerton Conference on Communication, Control, and Computing (Allerton).

[2]  Ding-Bing Lin,et al.  Performance analysis of two-branch transmit diversity block-coded OFDM systems in time-varying multipath Rayleigh-fading channels , 2005, IEEE Transactions on Vehicular Technology.

[3]  Gerhard Fettweis,et al.  Numerical performance evaluation for Alamouti space time coded OFDM under receiver impairments , 2009, IEEE Transactions on Wireless Communications.

[4]  Milica Stojanovic,et al.  MIMO OFDM over underwater acoustic channels , 2009, 2009 Conference Record of the Forty-Third Asilomar Conference on Signals, Systems and Computers.

[5]  Milica Stojanovic,et al.  A simple design for joint channel estimation and data detection in an Alamouti OFDM system , 2010, OCEANS 2010 MTS/IEEE SEATTLE.

[6]  T. Oberg,et al.  Iterative Reception for Acoustic Underwater MIMO Communications , 2006, OCEANS 2006.

[7]  Siavash M. Alamouti,et al.  A simple transmit diversity technique for wireless communications , 1998, IEEE J. Sel. Areas Commun..

[8]  Robert W. Heath,et al.  Receiver designs for Alamouti coded OFDM systems in fast fading channels , 2005, IEEE Transactions on Wireless Communications.

[9]  M. Stojanovic,et al.  Statistical Characterization and Computationally Efficient Modeling of a Class of Underwater Acoustic Communication Channels , 2013, IEEE Journal of Oceanic Engineering.

[10]  Jun Ling,et al.  On Bayesian Channel Estimation and FFT-Based Symbol Detection in MIMO Underwater Acoustic Communications , 2014, IEEE Journal of Oceanic Engineering.

[11]  J. Preisig,et al.  Estimation of Rapidly Time-Varying Sparse Channels , 2007, IEEE Journal of Oceanic Engineering.

[12]  P. Willett,et al.  MIMO-OFDM for High-Rate Underwater Acoustic Communications , 2009, IEEE Journal of Oceanic Engineering.

[13]  T.M. Duman,et al.  High-Rate Communication for Underwater Acoustic Channels Using Multiple Transmitters and Space–Time Coding: Receiver Structures and Experimental Results , 2007, IEEE Journal of Oceanic Engineering.

[14]  M. Stojanovic,et al.  This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination. IEEE JOURNAL OF OCEANIC ENGINEERING 1 Multiple-Resampling Receiver Design for OFDM Over Doppler-Distorted Unde , 2011 .

[15]  K. Kim,et al.  Efficient DFT-based channel estimation for OFDM systems on multipath channels , 2007, IET Commun..

[16]  Chengshan Xiao,et al.  Soft-Decision Feedback Turbo Equalization for LDPC-Coded MIMO Underwater Acoustic Communications , 2014, IEEE Journal of Oceanic Engineering.

[17]  L. Freitag,et al.  This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination. IEEE JOURNAL OF OCEANIC ENGINEERING 1 Peer-Reviewed Technical Communication Multicarrier Communication Over Un , 2022 .

[18]  Pierre-Jean Bouvet,et al.  Least Square and Trended Doppler Estimation in Fading Channel for High-Frequency Underwater Acoustic Communications , 2014, IEEE Journal of Oceanic Engineering.

[19]  Douglas B. Williams,et al.  A space-frequency transmitter diversity technique for OFDM systems , 2000, Globecom '00 - IEEE. Global Telecommunications Conference. Conference Record (Cat. No.00CH37137).

[20]  K.M.M. Prabhu,et al.  Sparse channel estimation in OFDM systems by threshold-based pruning , 2008 .

[21]  Parastoo Qarabaqia STATISTICAL MODELING OF A SHALLOW WATER ACOUSTIC COMMUNICATION CHANNEL , 2009 .

[22]  Aijun Song,et al.  Time Reversal Receivers for High Data Rate Acoustic Multiple-Input–Multiple-Output Communication , 2011, IEEE Journal of Oceanic Engineering.

[23]  Chau Yuen,et al.  Performance of Alamouti Space-Time Coded OFDM with Carrier Frequency Offset , 2011, 2011 IEEE Global Telecommunications Conference - GLOBECOM 2011.

[24]  Jian Zhang,et al.  Frequency-Domain Turbo Equalization with Soft Successive Interference Cancellation for Single Carrier MIMO Underwater Acoustic Communications , 2011, IEEE Transactions on Wireless Communications.

[25]  T.M. Duman,et al.  Error Rate Improvement in Underwater MIMO Communications Using Sparse Partial Response Equalization , 2006, IEEE Journal of Oceanic Engineering.

[26]  Shengli Zhou,et al.  Sparse channel estimation for multicarrier underwater acoustic communication: From subspace methods to compressed sensing , 2009, OCEANS 2009-EUROPE.