Parametric Replay-Based Simulation of Underwater Acoustic Communication Channels

This paper presents an underwater acoustic channel simulation methodology that combines parametric modeling with stochastic replay of at-sea measured channel impulse responses. The motivation behind this approach is to extend the scope of use of replay-based methods by allowing some parameterization of the channel properties while complying with some level of realism. Such an approach is beneficial for extensive testing of communication links. The key idea is to deliberately distort the statistics of the experimental channel in order to meet some user-specified constraints. Our approach is based on a relative entropy minimization between the original time-varying channel impulse response and the simulated one. A particular attention is given to constraints on the channel Doppler spread and on the level of covariance between channel taps. The testing capabilities provided by parametric replay-based simulations are illustrated with real data collected in the bay of Brest, France.

[1]  E. Jaynes Information Theory and Statistical Mechanics , 1957 .

[2]  M. Colin,et al.  Simulation of an Underwater Acoustic Communication Channel Characterized by Wind-Generated Surface Waves and Bubbles , 2012, IEEE Journal of Oceanic Engineering.

[3]  C. Letchford,et al.  Simulation of Multivariate Stationary Gaussian Stochastic Processes: Hybrid Spectral Representation and Proper Orthogonal Decomposition Approach , 2005 .

[4]  Thomas M. Cover,et al.  Elements of Information Theory , 2005 .

[5]  Paul A. van Walree,et al.  A Discrete-Time Channel Simulator Driven by Measured Scattering Functions , 2008, IEEE Journal on Selected Areas in Communications.

[6]  Matthias Patzold,et al.  Mobile Fading Channels , 2003 .

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

[8]  X. Cristol NARCISSUS-2005: a global model of fading channel for application to acoustic communication in marine environment , 2005, Europe Oceans 2005.

[9]  J. Cadzow Maximum Entropy Spectral Analysis , 2006 .

[10]  Michele Pavon,et al.  Time and Spectral Domain Relative Entropy: A New Approach to Multivariate Spectral Estimation , 2011, IEEE Transactions on Automatic Control.

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

[12]  Christophe Laot,et al.  Concise Derivation of Scattering Function from Channel Entropy Maximization , 2010, IEEE Transactions on Communications.

[13]  Rodney W. Johnson,et al.  Axiomatic derivation of the principle of maximum entropy and the principle of minimum cross-entropy , 1980, IEEE Trans. Inf. Theory.

[14]  J. Magnus,et al.  Matrix Differential Calculus with Applications in Statistics and Econometrics , 1991 .

[15]  Adam Zielinski,et al.  An eigenpath underwater acoustic communication channel model , 1995, 'Challenges of Our Changing Global Environment'. Conference Proceedings. OCEANS '95 MTS/IEEE.

[16]  G. Deodatis Simulation of Ergodic Multivariate Stochastic Processes , 1996 .

[17]  Christophe Laot,et al.  On the Capacity of the Underwater Acoustic Communication Channel under Realistic Assumptions , 2011, EW.

[18]  Paul van Walree,et al.  Channel sounding for acoustic communications : techniques and shallow-water examples , 2011 .

[19]  Milica Stojanovic,et al.  Information-Theoretic Analysis of Underwater Acoustic OFDM Systems in Highly Dispersive Channels , 2012, J. Electr. Comput. Eng..

[20]  Christophe Laot,et al.  A parametric replay-based framework for underwater acoustic communication channel simulation , 2014, 2014 Underwater Communications and Networking (UComms).

[21]  Ralf R. Müller,et al.  MIMO channel modeling and the principle of maximum entropy , 2005, IEEE Transactions on Information Theory.

[22]  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.

[23]  Christophe Laot,et al.  Achievable Rates over Doubly Selective Rician-Fading Channels under Peak-Power Constraint , 2013, IEEE Transactions on Wireless Communications.

[24]  Chen-Fen Huang,et al.  Multipath correlations in underwater acoustic communication channels. , 2013, The Journal of the Acoustical Society of America.

[25]  Michele Pavon,et al.  A Maximum Entropy Enhancement for a Family of High-Resolution Spectral Estimators , 2012, IEEE Transactions on Automatic Control.

[26]  Haifan Xiang,et al.  An efficient ergodic simulation of multivariate stochastic processes with spectral representation , 2011 .

[27]  Christophe Laot,et al.  Acoustic modem performance assessment via stochastic replay of at sea recorded underwater acoustic communication channels , 2011 .

[28]  Christophe Laot,et al.  A maximum entropy framework for statistical modeling of underwater acoustic communication channels , 2010, OCEANS'10 IEEE SYDNEY.

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

[30]  Trond Jenserud,et al.  Erratum to “Validation of Replay-Based Underwater Acoustic Communication Channel Simulation” [R. Otnes, P. A. van Walree, T. Jenserud, IEEE J. Ocean. Eng., DOI: 10.1109/JOE.2013.2262743] , 2013 .

[31]  C.A. Gutierrez-Diaz-de-Leon,et al.  Efficient Sum-of-Sinusoids-Based Simulation of Mobile Fading Channels with Asymmetrical Doppler Power Spectra , 2007, 2007 4th International Symposium on Wireless Communication Systems.

[32]  Michael B. Porter,et al.  Ray/Beam Tracing for Modeling the Effects of Ocean and Platform Dynamics , 2013, IEEE Journal of Oceanic Engineering.

[33]  James L. Massey,et al.  Proper complex random processes with applications to information theory , 1993, IEEE Trans. Inf. Theory.

[34]  D K Smith,et al.  Numerical Optimization , 2001, J. Oper. Res. Soc..

[35]  Christophe Laot,et al.  CHARACTERISATION OF TIME-VARYING UNDERWATER ACOUSTIC COMMUNICATION CHANNEL WITH APPLICATION TO CHANNEL CAPACITY , 2009 .

[36]  K. Anim-Appiah Complex envelope correlations for non-isotropic scattering , 1998 .

[37]  Paul A. van Walree,et al.  Propagation and Scattering Effects in Underwater Acoustic Communication Channels , 2013, IEEE Journal of Oceanic Engineering.

[38]  R. Galvin,et al.  A stochastic underwater acoustic channel model , 1996, OCEANS 96 MTS/IEEE Conference Proceedings. The Coastal Ocean - Prospects for the 21st Century.

[39]  Paul A. van Walree,et al.  Validation of Replay-Based Underwater Acoustic Communication Channel Simulation , 2013, IEEE Journal of Oceanic Engineering.

[40]  Christophe Laot,et al.  Stochastic Replay of Non-WSSUS Underwater Acoustic Communication Channels Recorded at Sea , 2011, IEEE Transactions on Signal Processing.