Adaptive transmission technique for short range mobile underwater acoustic OFDM communication

An underwater acoustic orthogonal frequency-division multiplexing (OFDM) system for short range application, which employs adaptive transmission technique to improve its performance is presented. Firstly, new channel parameters that can provide information on the instantaneous state of the channel with respect to the receiver's movement are derived. Secondly, the new channel parameters are used to adapt the subcarrier spacing and guard interval to the instantaneous channel state. Finally, the performance of the proposed system in terms of bit error rate (BER) and data rate is presented using simulations. Results indicate that the proposed adaptive system outperforms the conventional non-adaptive system (in which system parameters are fixed and chosen based on the worst-case scenario) in terms of providing optimal performance between the BER and data rate.

[1]  Shengli Zhou,et al.  Progressive Inter-Carrier Interference Equalization for OFDM Transmission Over Time-Varying Underwater Acoustic Channels , 2010, IEEE Journal of Selected Topics in Signal Processing.

[2]  Milica Stojanovic,et al.  OFDM for underwater acoustic communications: Adaptive synchronization and sparse channel estimation , 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

[3]  Andrea J. Goldsmith,et al.  Degrees of freedom in adaptive modulation: a unified view , 2001, IEEE Trans. Commun..

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

[5]  Geert Leus,et al.  OFDM Communicationsover Time-Varying Channels , 2011 .

[6]  Peter Willett,et al.  Detection, Synchronization, and Doppler Scale Estimation with Multicarrier Waveforms in Underwater Acoustic Communication , 2008 .

[7]  Rick P. Millane,et al.  Polynomial approximations to Bessel functions , 2003 .

[8]  Ramjee Prasad,et al.  Performance Analysis of OFDM Systems with Adaptive Sub Carrier Bandwidth , 2008, IEEE Transactions on Wireless Communications.

[9]  Gerald Matz,et al.  Time-varying communication channels: Fundamentals, recent developments, and open problems , 2006, 2006 14th European Signal Processing Conference.

[10]  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 .

[11]  Ronald A. Iltis,et al.  Iterative Carrier Frequency Offset and Channel Estimation for Underwater Acoustic OFDM Systems , 2008, IEEE Journal on Selected Areas in Communications.

[12]  G. Matz,et al.  On non-WSSUS wireless fading channels , 2005, IEEE Transactions on Wireless Communications.

[13]  M. Stojanovic,et al.  Low Complexity OFDM Detector for Underwater Acoustic Channels , 2006, OCEANS 2006.

[14]  Milica Stojanovic,et al.  Channel prediction for adaptive modulation in underwater acoustic communications , 2011, OCEANS 2011 IEEE - Spain.

[15]  Razali Ngah,et al.  Time-scale domain characterization of non-WSSUS wideband channels , 2011, EURASIP J. Adv. Signal Process..

[16]  Milica Stojanovic,et al.  Underwater acoustic communication channels: Propagation models and statistical characterization , 2009, IEEE Communications Magazine.

[17]  Andrew C. Singer,et al.  Signal processing for underwater acoustic communications , 2009, IEEE Communications Magazine.

[18]  R. M. A. P. Rajatheva,et al.  Synchronization, Channel Estimation, and Equalization in MB-OFDM Systems , 2008, IEEE Transactions on Wireless Communications.

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

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

[21]  Yangyuan Wang,et al.  Designing an Adaptive Acoustic Modem for Underwater Sensor Networks , 2012, IEEE Embedded Systems Letters.

[22]  Milica Stojanovic,et al.  Adaptive Channel Estimation and Data Detection for Underwater Acoustic MIMO–OFDM Systems , 2010, IEEE Journal of Oceanic Engineering.

[23]  Philip Schniter,et al.  Efficient Multicarrier Communication for Highly Spread Underwater Acoustic Channels , 2008, IEEE Journal on Selected Areas in Communications.