Closed-Form Expression for BER of CP-OFDM Systems Over an Underwater Acoustic Channel With Statistical Characterization

In this letter, we propose a mathematical method to evaluate the bit error rate (BER) of orthogonal frequency division multiplexing with cyclic prefix (CP-OFDM) in an underwater acoustic (UWA) channel with statistical characterization. We adopt general statistical modeling for the UWA channel and specifically study long-distance horizontal UWA transmission in shallow water. Moreover, we perform a rigorous derivation in which the large- and small-scale channel characterization and Doppler shifting are divided into two parts: unified fading and the residual Doppler effect. Furthermore, this approach can be extended to other typical UWA communication channels with different statistical characterizations. Finally, simulation results show good agreement with theoretical results, regardless of whether the motion is drift or intentional movement.

[1]  Songzuo Liu,et al.  Low-Complexity Doppler Compensation Algorithm for Underwater Acoustic OFDM Systems With Nonuniform Doppler Shifts , 2020, IEEE Communications Letters.

[2]  Gang Qiao,et al.  Further Interpolation Methods for Doppler Scale Estimation in Underwater Acoustic CP-OFDM Systems , 2019, 2019 IEEE 2nd International Conference on Information Communication and Signal Processing (ICICSP).

[3]  Marcelo E. V. Segatto,et al.  Closed-Form Expression for BER of CE-OFDM in Optical Intensity-Modulated Direct-Detection Systems , 2019, IEEE Communications Letters.

[4]  Bin Li,et al.  Bit-error rate based Doppler estimation for shallow water acoustic OFDM communication , 2019, Ocean Engineering.

[5]  Matthias Pätzold,et al.  SINR analysis of OFDM systems using a geometry-based underwater acoustic channel model , 2015, 2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC).

[6]  Bo Peng,et al.  Time-Domain Oversampled OFDM Communication in Doubly-Selective Underwater Acoustic Channels , 2015, IEEE Communications Letters.

[7]  Shengli Zhou,et al.  OFDM for Underwater Acoustic Communications , 2014 .

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

[9]  Mandar Chitre,et al.  A high-frequency warm shallow water acoustic communications channel model and measurements. , 2007, The Journal of the Acoustical Society of America.

[10]  Wen-Bin Yang,et al.  High-frequency channel characterization for M-ary frequency-shift-keying underwater acoustic communications , 2006 .

[11]  R. M. A. P. Rajatheva,et al.  An Exact Error Probability Analysis of OFDM Systems with Frequency Offset , 2006, MILCOM 2006 - 2006 IEEE Military Communications conference.

[12]  Luca Rugini,et al.  BER of OFDM systems impaired by carrier frequency offset in multipath fading channels , 2005, IEEE Transactions on Wireless Communications.

[13]  Chintha Tellambura,et al.  Probability of error calculation of OFDM systems with frequency offset , 2001, IEEE Trans. Commun..

[14]  L. Hanzo,et al.  Adaptive multicarrier modulation: a convenient framework for time-frequency processing in wireless communications , 2000, Proceedings of the IEEE.

[15]  J. A. Catipovic,et al.  Performance limitations in underwater acoustic telemetry , 1990 .

[16]  Bin Li,et al.  Bit-error rate gradient descent Doppler estimation for underwater acoustic OFDM communication , 2021 .

[17]  Gang Qiao,et al.  Analysis of SNR Metrics for a Typical Underwater Acoustic OFDM System , 2019, IEEE Access.

[18]  M. Stojanovic,et al.  Underwater Acoustic Communication Channels: Propagation Models and Statistical Characterization , 2022 .

[19]  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 .