Time-Frequency Characterization and Receiver Waveform Design for Shallow Water Environments

We investigate a frequency-domain characterization of shallow water environments based on normal-mode models of acoustic mediums. The shallow water environment can be considered as a time-dispersive system whose time-varying impulse response can be expressed as a superposition of time-frequency components with dispersive characteristics. After studying the dispersive characteristics, a blind time-frequency processing technique is employed to separate the normal-mode components without knowledge of the environment parameters. This technique is based on first approximating the time-frequency structure of the received signal and then designing time-frequency separation filters based on warping techniques. Following this method, we develop two types of receivers to exploit the diversity inherent in the shallow water environment model and to improve underwater communication performance. Numerical results demonstrate the dispersive system characterization and the improved processing performance of the receiver structures.

[1]  James C Preisig,et al.  Modal processing for acoustic communications in shallow water experiment. , 2008, The Journal of the Acoustical Society of America.

[2]  Jun Zhang,et al.  Time-Frequency Based Waveform and Receiver Design for Shallow Water Communications , 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

[3]  Christopher D. Jones,et al.  Underwater acoustic communication by passive-phase conjugation: theory and experimental results , 2001 .

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

[5]  S. Kay Fundamentals of statistical signal processing: estimation theory , 1993 .

[6]  Andrey K. Morozov,et al.  Investigation of modal processing for low frequency acoustic communications in shallow water , 2008 .

[7]  T. C. Yang Temporal resolutions of time-reversal and passive-phase conjugation for underwater acoustic communications , 2003 .

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

[9]  William S. Hodgkiss,et al.  An initial demonstration of underwater acoustic communication using time reversal , 2002 .

[10]  L. Ziomek Fundamentals of Acoustic Field Theory and Space-Time Signal Processing , 1994 .

[11]  A.B. Baggeroer,et al.  Spatial modulation experiments in the underwater acoustic channel , 2005, IEEE Journal of Oceanic Engineering.

[12]  Cornel Ioana,et al.  A Time-Frequency Characterization Framework for Signals Issued from Underwater Dispersive Environments , 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

[13]  H.C. Song,et al.  Underwater acoustic communications using time reversal , 2001, IEEE Journal of Oceanic Engineering.

[14]  Grant B. Deane Internal friction and boundary conditions in lossy fluid seabeds , 1997 .

[15]  Karim G. Sabra,et al.  Broadband performance of a time reversing array with a moving source , 2004 .

[16]  Jun Jason Zhang,et al.  Time-Frequency Characterization and Receiver Waveform Design for Shallow Water Environments , 2009, IEEE Transactions on Signal Processing.

[17]  James C. Preisig,et al.  Signal detection for communications in the underwater acoustic environment , 2001 .

[18]  P.-P.J. Beaujean,et al.  Spatio-temporal processing of coherent acoustic communication data in shallow water , 2000, IEEE Journal of Oceanic Engineering.

[19]  Cornel Ioana,et al.  Time-Frequency Modeling of Shallow Water Environments: Rigid vs. Fluid Seabed , 2007, 2007 IEEE/SP 14th Workshop on Statistical Signal Processing.

[20]  R. H. Ferris Comparison of Measured and Calculated Normal‐Mode Amplitude Functions for Acoustic Waves in Shallow Water , 1972 .

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

[22]  Antonia Papandreou-Suppappola,et al.  Discrete Time-Frequency Characterizations of Dispersive Linear Time-Varying Systems , 2007, IEEE Transactions on Signal Processing.

[23]  Venugopal V. Veeravalli,et al.  On performance analysis for signaling on correlated fading channels , 2001, IEEE Trans. Commun..

[24]  J.A. Ritcey,et al.  Multichannel equalization by decision-directed passive phase conjugation: experimental results , 2004, IEEE Journal of Oceanic Engineering.

[25]  T. Yang,et al.  Correlation-based decision-feedback equalizer for underwater acoustic communications , 2005, IEEE Journal of Oceanic Engineering.

[26]  J. Proakis,et al.  Adaptive multichannel combining and equalization for underwater acoustic communications , 1993 .

[27]  H.C. Song,et al.  Multiple-input-multiple-output coherent time reversal communications in a shallow-water acoustic channel , 2006, IEEE Journal of Oceanic Engineering.

[28]  James C. Preisig The impact of bubbles on underwater acoustic communications in shallow water environments , 2003 .

[29]  P.-P.J. Beaujean,et al.  Adaptive array processing for high-speed acoustic communication in shallow water , 2004, IEEE Journal of Oceanic Engineering.

[30]  Chuen-Song Chen,et al.  Time-frequency representations for wideband acoustic signals in shallow water , 2003, Oceans 2003. Celebrating the Past ... Teaming Toward the Future (IEEE Cat. No.03CH37492).

[31]  Cornel Ioana,et al.  Toward The Use Of The Time-Warping Principle With Discrete-Time Sequences , 2007, J. Comput..

[32]  Antonia Papandreou-Suppappola,et al.  Applications in Time-Frequency Signal Processing , 2002 .

[33]  James C Preisig,et al.  Performance analysis of adaptive equalization for coherent acoustic communications in the time-varying ocean environment. , 2005, The Journal of the Acoustical Society of America.

[34]  Eric Chassande-Mottin,et al.  Best chirplet chain: near-optimal detection of gravitational wave chirps , 2006 .

[35]  A. Papandreou-Suppappola,et al.  Diversity in Shallow Water Environments Using Blind Time-Frequency Separation Techniques , 2007, 2007 Conference Record of the Forty-First Asilomar Conference on Signals, Systems and Computers.