SONAR Systems and Underwater Signal Processing: Classic and Modern Approaches

[1]  Jack K. Wolf,et al.  Finding the best set of K paths through a trellis with application to multitarget tracking , 1989 .

[2]  P. Ramakrishna Rao,et al.  Target classification in a passive sonar-an expert system approach , 1990, International Conference on Acoustics, Speech, and Signal Processing.

[3]  R. Abrahart,et al.  Neural Networks for Hydrological Modeling , 2004 .

[4]  Philipp Slusallek,et al.  Introduction to real-time ray tracing , 2005, SIGGRAPH Courses.

[5]  F. Jelinek Fast sequential decoding algorithm using a stack , 1969 .

[6]  S.S. Blackman,et al.  Multiple hypothesis tracking for multiple target tracking , 2004, IEEE Aerospace and Electronic Systems Magazine.

[7]  Andrew P. Sage,et al.  On Sonar Signal Analysis , 1970, IEEE Transactions on Aerospace and Electronic Systems.

[8]  Y. Bar-Shalom Tracking and data association , 1988 .

[9]  S. Haykin,et al.  Cubature Kalman Filters , 2009, IEEE Transactions on Automatic Control.

[10]  M. Stevenson,et al.  Sonar signal detection and classification using artificial neural networks , 2000, 2000 Canadian Conference on Electrical and Computer Engineering. Conference Proceedings. Navigating to a New Era (Cat. No.00TH8492).

[11]  Jinlin Wang,et al.  An application of expert system in recognition of radiated noise of underwater target , 1995, 'Challenges of Our Changing Global Environment'. Conference Proceedings. OCEANS '95 MTS/IEEE.

[12]  B. Anderson,et al.  Optimal Filtering , 1979, IEEE Transactions on Systems, Man, and Cybernetics.

[13]  A. Kundu,et al.  Transient sonar signal classification using hidden Markov models and neural nets , 1994 .

[14]  Roberto Bellotti,et al.  Hausdorff Clustering of Financial Time Series , 2007 .

[15]  Jill K. Nelson,et al.  Evaluation of multistatic tree-search based tracking on the SEABAR dataset , 2010, 2010 13th International Conference on Information Fusion.

[16]  William R. Bennett,et al.  Data Transmission , 1965 .

[17]  David G. Stork,et al.  Pattern Classification , 1973 .

[18]  H. Sorenson,et al.  Recursive bayesian estimation using gaussian sums , 1971 .

[19]  C. Jauffret,et al.  A formulation of multitarget tracking as an incomplete data problem , 1997, IEEE Transactions on Aerospace and Electronic Systems.

[20]  Robert W. Sittler,et al.  An Optimal Data Association Problem in Surveillance Theory , 1964, IEEE Transactions on Military Electronics.

[21]  Henrik Schmidt,et al.  A low-frequency sonar for sensor-adaptive, multistatic, detection and classification of underwater targets with AUVs , 2003, Oceans 2003. Celebrating the Past ... Teaming Toward the Future (IEEE Cat. No.03CH37492).

[22]  Li Nan,et al.  Application of BP neural network and higher order spectrum for ship-radiated noise classification , 2010, 2010 2nd International Conference on Future Computer and Communication.

[23]  R. Singer,et al.  New results in optimizing surveillance system tracking and data correlation performance in dense multitarget environments , 1973 .

[24]  Torsten Söderström,et al.  Advanced point-mass method for nonlinear state estimation , 2006, Autom..

[25]  Fuqin Xiong,et al.  Sequential sequence estimation for channels with intersymbol interference of finite or infinite length , 1990, IEEE Trans. Commun..

[26]  Robert J. Elliott,et al.  Discrete-Time Nonlinear Filtering Algorithms Using Gauss–Hermite Quadrature , 2007, Proceedings of the IEEE.

[27]  John Stein,et al.  An optimal tracking filter for processing sensor data of imprecisely determined origin in surveillance systems , 1971, CDC 1971.

[28]  Hugh F. Durrant-Whyte,et al.  A new method for the nonlinear transformation of means and covariances in filters and estimators , 2000, IEEE Trans. Autom. Control..

[29]  Paul Guinnessy Paul Guinnessy Physics Today Online , 2002 .

[30]  Andrew J. Viterbi,et al.  Error bounds for convolutional codes and an asymptotically optimum decoding algorithm , 1967, IEEE Trans. Inf. Theory.

[31]  Joydeep Ghosh,et al.  A neural network based hybrid system for detection, characterization, and classification of short-duration oceanic signals , 1992 .

[32]  T. Başar,et al.  A New Approach to Linear Filtering and Prediction Problems , 2001 .

[33]  Petre Stoica,et al.  Spectral Analysis of Signals , 2009 .

[34]  G. M. Wenz Acoustic Ambient Noise in the Ocean: Spectra and Sources , 1962 .

[35]  J J Hopfield,et al.  Neural networks and physical systems with emergent collective computational abilities. , 1982, Proceedings of the National Academy of Sciences of the United States of America.

[36]  J. G. Lourens Classification of ships using underwater radiated noise , 1988 .

[37]  Mahmood Karimi,et al.  Marine Vessels Acoustic Radiated Noise Classification in Passive Sonar Using Probabilistic Neural Network and Spectral Features , 2011, Intell. Autom. Soft Comput..

[38]  Yaakov Bar-Shalom,et al.  Sonar tracking of multiple targets using joint probabilistic data association , 1983 .

[39]  M. Karimi,et al.  Ship noise classification using Probabilistic Neural Network and AR model coefficients , 2005, Europe Oceans 2005.

[40]  Robert J. Urick,et al.  Principles of underwater sound , 1975 .

[41]  Hossein Roufarshbaf,et al.  A Tree Search Approach to Detection and Estimation with Application to Communications and Tracking , 2011 .

[42]  Ronald Sea An efficient suboptimal decision procedure for associating sensor data with stored tracks in real-time surveillance systems , 1971, CDC 1971.

[43]  Kazufumi Ito,et al.  Gaussian filters for nonlinear filtering problems , 2000, IEEE Trans. Autom. Control..

[44]  Wayne H. Ward,et al.  Speech recognition , 1997 .

[45]  Y. Bar-Shalom,et al.  Tracking in a cluttered environment with probabilistic data association , 1975, Autom..

[46]  John Auwaerter Data transmission , 1970, ACM '70.

[47]  Lawrence R. Rabiner,et al.  A tutorial on hidden Markov models and selected applications in speech recognition , 1989, Proc. IEEE.

[48]  Rafael Castro-Linares,et al.  Trajectory tracking for non-holonomic cars: A linear approach to controlled leader-follower formation , 2010, 49th IEEE Conference on Decision and Control (CDC).

[49]  José Manoel de Seixas,et al.  Averaging spectra to improve the classification of the noise radiated by ships using neural networks , 2000, Proceedings. Vol.1. Sixth Brazilian Symposium on Neural Networks.

[50]  A. Singer,et al.  Bayesian ML Sequence Detection for ISI Channels , 2006, 2006 40th Annual Conference on Information Sciences and Systems.

[51]  Donald Roe Ross,et al.  Mechanics of underwater noise , 1976 .

[52]  Sergio Rui Silva,et al.  Advances in Sonar Technology , 2009 .

[53]  Patrick Pérez,et al.  Sequential Monte Carlo methods for multiple target tracking and data fusion , 2002, IEEE Trans. Signal Process..

[54]  H. Sorenson,et al.  Nonlinear Bayesian estimation using Gaussian sum approximations , 1972 .

[55]  Neil J. Gordon,et al.  A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking , 2002, IEEE Trans. Signal Process..

[56]  Jong Kyoung Kim,et al.  Speech recognition , 1983, 1983 IEEE International Solid-State Circuits Conference. Digest of Technical Papers.

[57]  Lawrence D. Stone,et al.  Bayesian Multiple Target Tracking , 1999 .

[58]  H. Peyvandi A novel approach for data transmission over voice dedicated channel of worldwide wireless telecommunication networks , 2009, 2009 Wireless Telecommunications Symposium.

[59]  R. Bucy,et al.  Digital synthesis of non-linear filters , 1971 .

[60]  Jill K. Nelson,et al.  A tree search approach to target tracking in clutter , 2009, 2009 12th International Conference on Information Fusion.

[61]  Jill K. Nelson,et al.  Target tracking via a sampling stack-based approach , 2009, 2009 Conference Record of the Forty-Third Asilomar Conference on Signals, Systems and Computers.

[62]  Jeffrey K. Uhlmann,et al.  Unscented filtering and nonlinear estimation , 2004, Proceedings of the IEEE.

[63]  H. Shahbazi,et al.  Design and analysis of low frequency communication system in persian gulf , 2008, OCEANS 2008.

[64]  Niels Kjølstad Poulsen,et al.  New developments in state estimation for nonlinear systems , 2000, Autom..

[65]  W. Burdic Underwater Acoustic System Analysis , 1984 .

[66]  P. Djurić,et al.  Particle filtering , 2003, IEEE Signal Process. Mag..