Improved Active Sonar Tactical Support by Through-the-Sensor Estimation of Acoustic Seabed Properties

Accurate environmental information is required for obtaining confident sonar performance predictions. This environmental information is, however, often unreliable or unavailable. To support antisubmarine warfare (ASW) operations, a through-the-sensor approach has been developed in which relevant acoustic seabed properties are derived from reverberation data, and a demonstrator system has been installed on a Royal Norwegian Navy frigate. It determines relevant acoustic seabed parameters from the reverberation data near real time. This demonstrator system has been validated in several sea trials conducted off the coast of Bergen, Norway. The acoustic seabed parameters derived in these trials have a good correspondence with the available prior information. Furthermore, the results show that acoustic seabed parameters derived from reverberation data in previous trials can be used to improve reverberation prediction for subsequent trials, even when environmental conditions, i.e., sound-speed profiles, are different. Because the demonstrator makes information on acoustic seabed properties directly available for in situ sonar performance prediction, it can be used as a tactical decision aid.

[1]  Robert L. Folk,et al.  The Distinction between Grain Size and Mineral Composition in Sedimentary-Rock Nomenclature , 1954, The Journal of Geology.

[2]  K. Mackenzie Bottom Reverberation for 530‐ and 1030‐cps Sound in Deep Water , 1961 .

[3]  Robert J. Urick,et al.  Principles of underwater sound for engineers , 1967 .

[4]  R. Urick Reverberation‐Derived Scattering Strength of the Shallow Sea Bed , 1970 .

[5]  E. Hamilton Compressional-wave attenuation in marine sediments , 1972 .

[6]  B. F. Cole,et al.  Shallow‐water bottom reverberation under downward refraction conditions , 1974 .

[7]  Shang Er-chang LONG-RANGE REVERBERATION AND BOTTOM SCATTERING STRENGTH IN SHALLOW WATER , 1982 .

[8]  R. Bachman Acoustic and physical property relationships in marine sediment , 1985 .

[9]  P Schippers Sonar Range Prediction Models REPAS and REACT (Sonar Afsand Voorspelmodellen REPAS en REACT) , 1991 .

[10]  D. Jackson,et al.  High‐frequency bottom backscattering: Roughness versus sediment volume scattering , 1992 .

[11]  P. Ogden,et al.  Surface scattering measurements using broadband explosive charges in the Critical Sea Test experiments , 1994 .

[12]  Peter M. Ogden,et al.  Surface and volume scattering measurements using broadband explosive charges in the Critical Sea Test 7 experiment , 1994 .

[13]  M. Ainslie Plane‐wave reflection and transmission coefficients for a three‐layered elastic medium , 1995 .

[14]  N. Chotiros,et al.  A model for high‐frequency acoustic backscatter from gas bubbles in sandy sediments at shallow grazing angles , 1995 .

[15]  P. G. Cable,et al.  Reverberation-derived shallow-water bottom scattering strength , 1997 .

[16]  Dale D. Ellis,et al.  Data-model comparisons of reverberation at three shallow-water sites , 1997 .

[17]  J Sellschopp Rapid Environmental Assessment for Naval Operations , 2000 .

[18]  F. Jensen,et al.  Are Current Environmental Databases Adequate for Sonar Predictions in Shallow Water , 2002 .

[19]  Roger C. Gauss,et al.  Broadband Models for Predicting Bistatic Bottom, Surface, and Volume Scattering Strengths , 2002 .

[20]  Finn B. Jensen,et al.  Impact of littoral environmental variability on acoustic predictions and sonar performance , 2002 .

[21]  C. Harrison,et al.  Closed-form expressions for ocean reverberation and signal excess with mode stripping and Lambert's law. , 2003, The Journal of the Acoustical Society of America.

[22]  J. Goff,et al.  Seabed characterization on the New Jersey middle and outer shelf: correlatability and spatial variab , 2004 .

[23]  C. Chapman Fundamentals of Seismic Wave Propagation: Frontmatter , 2004 .

[24]  S.P. Beerens,et al.  Adaptive port-starboard beamforming of triplet sonar arrays , 2005, IEEE Journal of Oceanic Engineering.

[25]  P. Hines,et al.  Acoustic backscatter measurements from littoral seabeds at shallow grazing angles at 4 and 8 kHz. , 2005, The Journal of the Acoustical Society of America.

[26]  N. Chotiros Seafloor acoustic backscattering strength and properties from published data , 2006, OCEANS 2006 - Asia Pacific.

[27]  M. Ainslie,et al.  Mean grain size mapping with single-beam echo sounders , 2006 .

[28]  D. Jackson,et al.  High-Frequency Seafloor Acoustics , 2006 .

[29]  C. Holland Constrained comparison of ocean waveguide reverberation theory and observations , 2006 .

[30]  P. Cable,et al.  On shallow-water bottom reverberation frequency dependence , 2006, IEEE Journal of Oceanic Engineering.

[31]  P. Nielsen,et al.  Separability of seabed reflection and scattering properties in reverberation inversion , 2007 .

[32]  J. Perkins,et al.  Reverberation modeling issues highlighted by the first Reverberation Modeling Workshop , 2007 .

[33]  M. Ainslie,et al.  A Multivariate Correlation Analysis of High- Frequency Bottom Backscattering Strength Measurements With Geotechnical Parameters , 2007, IEEE Journal of Oceanic Engineering.

[34]  M. Ainslie Observable parameters from multipath bottom reverberation in shallow water. , 2007, The Journal of the Acoustical Society of America.

[35]  J.R. Preston,et al.  Using Triplet Arrays for Broadband Reverberation Analysis and Inversions , 2007, IEEE Journal of Oceanic Engineering.

[36]  John S. Perkins,et al.  Overview of the reverberation modeling workshops , 2007 .

[37]  D. Jackson,et al.  Seafloor Scattering Experiments , 2007 .

[38]  Charles W. Holland Fitting data, but poor predictions: reverberation prediction uncertainty when seabed parameters are derived from reverberation measurements. , 2008, The Journal of the Acoustical Society of America.

[39]  Ellen Johanne Eidem,et al.  Seabed classification of the Navy´s exercise area in the northern North Sea , 2008 .

[40]  Frédéric Sturm,et al.  Numerical investigation of out-of-plane sound propagation in a shallow water experiment. , 2008, The Journal of the Acoustical Society of America.

[41]  Dale D. Ellis,et al.  Extracting bottom information from towed-array reverberation data: Part I: Measurement methodology , 2009 .

[42]  Dale D. Ellis,et al.  Extracting bottom information from towed-array reverberation data. Part II: Extraction procedure and modelling methodology , 2009 .

[43]  Stan E Dosso,et al.  Bayesian inversion of reverberation and propagation data for geoacoustic and scattering parameters. , 2009, The Journal of the Acoustical Society of America.

[44]  J. Perkins,et al.  Update on the reverberation modeling workshops. , 2009 .

[45]  P.L. Nielsen,et al.  Combined Geoacoustic Inversion of Propagation and Reverberation Data , 2009, IEEE Journal of Oceanic Engineering.

[46]  Michael A. Ainslie,et al.  Principles of Sonar Performance Modelling , 2010 .

[47]  Ainslie,et al.  Scenarios for Benchmarking Range-Dependent Active Sonar Performance Models , 2010 .

[48]  B. L. Andersson,et al.  Stabilizing reverberation inversion by regression relations involving a grain size parameter , 2011 .

[49]  Robbert van Vossen,et al.  The effect of wind-generated bubbles on sea-surface backscattering at 940 Hz. , 2011, The Journal of the Acoustical Society of America.

[50]  Ainslie,et al.  An Analytical Solution for Signal Background and Signal to background Ratio for a Low Frequency Active Sonar in a Pekerisch Waveguide Satisfying Lambert's Rule , 2011 .

[51]  Chris H Harrison Target time smearing with short transmissions and multipath propagation. , 2011, The Journal of the Acoustical Society of America.

[52]  Ji‐xun Zhou,et al.  Low frequency seabed scattering at low grazing angles. , 2012, The Journal of the Acoustical Society of America.

[53]  M.E.G.D. Colin,et al.  Bayesian reverberation inversion incorporating grain-size dependent regression relations as a priori information , 2012 .

[54]  M. Ainslie Echo and reverberation in a Pekeris waveguide by convolution and by the product rule. , 2013, The Journal of the Acoustical Society of America.

[55]  E. Eidem,et al.  Acoustic seabed classification using QTC IMPACT on single-beam echo sounder data from the Norwegian Channel, northern North Sea , 2013 .