Frequency-domain channel estimation for nonlinear multicarrier underwater communication systems

Underwater acoustic (UWA) communications have drawn attention to many researchers in recent years. The major obstacles to reliable UWA communications include limited bandwidth, long multipath delay and large Doppler shifts of the UWA channel. Due to the hostile UWA environment, implementation of a high-speed UWA communication system often requires advanced modulation and signal processing techniques. The multicarrier modulation in the form of orthogonal frequency-division multiplexing (OFDM) has many attractive features which make it a potential candidate for UWA communications. However, the OFDM signal has a high peak-to-average-power ratio (PAPR) and hence is highly susceptible to nonlinearities in the communication link. For combating channel nonlinearities, knowledge of the nonlinear channel is essential. In this paper, we propose a novel method for the estimation of nonlinear channels in OFDM UWA communications. Compared to conventional methods, the proposed method requires a significantly smaller amount of data to achieve the channel estimation. This makes the proposed method suitable for time-varying UWA channels. The effectiveness of the proposed method is demonstrated by applying it to estimate the nonlinear channel of a simulated OFDM UWA communication system.

[1]  Jeffrey G. Andrews,et al.  Fundamentals of WiMAX: Understanding Broadband Wireless Networking (Prentice Hall Communications Engineering and Emerging Technologies Series) , 2007 .

[2]  Nicholas Kalouptsidis,et al.  Input-output identification of nonlinear channels using PSK, QAM and OFDM inputs , 2009, Signal Process..

[3]  J. A. Catipovic,et al.  Design and performance analysis of a Digital Acoustic Telemetry System for the short range underwater channel , 1984 .

[4]  V. J. Mathews,et al.  Polynomial Signal Processing , 2000 .

[5]  Leo J. Tick,et al.  The Estimation of “Transfer Functions” of Quadratic Systems , 1961 .

[6]  Geert Leus,et al.  Multiband OFDM for Covert Acoustic Communications , 2008, IEEE Journal on Selected Areas in Communications.

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

[8]  R.F.W. Coates,et al.  The design and testing of a DSP, half-duplex, vertical, DPSK communication link , 1997, Oceans '97. MTS/IEEE Conference Proceedings.

[9]  Ching-Hsiang Tseng,et al.  Estimation of cubic nonlinear bandpass channels in orthogonal frequency-division multiplexing systems , 2010, IEEE Transactions on Communications.

[10]  Milica Stojanovic,et al.  Recent advances in high-speed underwater acoustic communications , 1996 .

[11]  Raviv Raich,et al.  On the baseband representation of a bandpass nonlinearity , 2005, IEEE Transactions on Signal Processing.

[12]  S. Shahabudeen,et al.  Recent advances in underwater acoustic communications & networking , 2008, OCEANS 2008.

[13]  A.B. Baggeroer,et al.  The state of the art in underwater acoustic telemetry , 2000, IEEE Journal of Oceanic Engineering.

[14]  A. Baggeroer,et al.  Acoustic telemetry - An overview , 1984, IEEE Journal of Oceanic Engineering.

[15]  J. A. Catipovic,et al.  Phase-coherent digital communications for underwater acoustic channels , 1994 .

[16]  S. Merriam,et al.  A new MFSK acoustic modem for operation in adverse underwater channels , 1997, Oceans '97. MTS/IEEE Conference Proceedings.

[17]  Burton R. Saltzberg,et al.  Multi-Carrier Digital Communications: Theory and Applications of Ofdm , 1999 .

[18]  Robert D. Nowak,et al.  Volterra filter equalization: a fixed point approach , 1997, IEEE Trans. Signal Process..

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

[20]  Adel A. M. Saleh,et al.  Frequency-Independent and Frequency-Dependent Nonlinear Models of TWT Amplifiers , 1981, IEEE Trans. Commun..

[21]  Masanobu Suzuki,et al.  Digital Acoustic Image Transmission System For Deep-sea Research Submersible , 1992, OCEANS 92 Proceedings@m_Mastering the Oceans Through Technology.

[22]  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 .

[23]  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.

[24]  Sang-Won Nam,et al.  Application of higher order spectral analysis to cubically nonlinear system identification , 1994, IEEE Trans. Signal Process..

[25]  J. Bendat New techniques for nonlinear system analysis and identification from random data , 1990 .

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

[27]  Ching-Hsiang Tseng Identification of cubically nonlinear systems using undersampled data , 1997 .

[28]  G. Tong Zhou,et al.  Nonlinear channel identification and equalization for OFDM systems , 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

[29]  M.R. Raghuveer,et al.  Bispectrum estimation: A digital signal processing framework , 1987, Proceedings of the IEEE.

[30]  Arthur B. Baggeroer,et al.  DATS - A Digital Acoustic Telemetry System for Underwater Communications , 1981 .

[31]  Sergio Benedetto,et al.  Principles of Digital Transmission: With Wireless Applications , 1999 .

[32]  D. Brillinger The identification of polynomial systems by means of higher order spectra , 1970 .

[33]  M. Chitre,et al.  Performance of coded OFDM in very shallow water channels and snapping shrimp noise , 2005, Proceedings of OCEANS 2005 MTS/IEEE.

[34]  A. S. French,et al.  Measuring the Wiener kernels of a non-linear system using the fast Fourier transform algorithm† , 1973 .