Inversion of the Sound Speed With Radiated Noise of an Autonomous Underwater Vehicle in Shallow Water Waveguides

In December 2013, an experiment using an autonomous underwater vehicle (AUV) as a moving source for water column sound speed profile (SSP) inversion was conducted in Mogan Lake, China. With in-situ conductivity, temperature, and depth (CTD) measurements, the empirical orthogonal functions were first constructed to represent the SSP. Radiated noises of the AUV were received on a vertical line array and processed via acoustic field matching to obtain estimates of the range-independent SSP, along with the position and velocity of the AUV and the water column depth. The frequency of the radiation noise of the AUV was approximately 14 kHz. At such high frequency, even though the source motion was slow, a significant Doppler shift/broadening was observed. To incorporate the Doppler effects to better match the measured data, a forward acoustic model is derived based on the waveguide Doppler and normal mode theory. An analytical solution of the forward model is obtained for arbitrary signal integration intervals with a monochromatic source, moving radially relative to the receiver. Through simulations and experimental data processing, the feasibility of using an AUV source for water column SSP inversion has been demonstrated; it is also shown that the waveguide Doppler model is more effective compared with the model that does not consider the waveguide Doppler effect.

[1]  Mark Porter,et al.  The KRAKEN normal mode program , 1992 .

[2]  F. Middleton,et al.  An underwater acoustic sound velocity data model , 1980 .

[3]  Peter Gerstoft,et al.  Effect of ocean sound speed uncertainty on matched-field geoacoustic inversion. , 2008, The Journal of the Acoustical Society of America.

[4]  Ming Zhang,et al.  A modular autonomous underwater vehicle for environmental sampling: System design and preliminary experimental results , 2014, OCEANS 2014 - TAIPEI.

[5]  Michael B. Porter,et al.  Computational Ocean Acoustics , 1994 .

[6]  James F. Lynch,et al.  An overview of unmanned underwater vehicle noise in the low to mid frequencies bands , 2010 .

[7]  A. Tolstoy,et al.  ACOUSTIC TOMOGRAPHY VIA MATCHED FIELD PROCESSING , 1991 .

[8]  K. Metzger,et al.  Ocean acoustic tomography: estimating the acoustic travel time with phase , 1989 .

[9]  Henrik Schmidt,et al.  Acoustic tomography of a coastal front in Haro Strait, British Columbia , 1999 .

[10]  Henrik Schmidt AREA: Adaptive Rapid Environmental Assessment , 2002 .

[11]  J.V. Candy,et al.  Inversion for Time-Evolving Sound-Speed Field in a Shallow Ocean by Ensemble Kalman Filtering , 2009, IEEE Journal of Oceanic Engineering.

[12]  Léon J. M. Rothkrantz,et al.  Acoustic inversion with self noise of an autonomous underwater vehicle to measure sound speed in marine sediments , 2009, 2009 12th International Conference on Information Fusion.

[13]  Henrik Schmidt,et al.  Acoustically Focused Oceanographic Sampling in Coastal Environments , 1997 .

[14]  Lawrence E. Kinsler,et al.  Fundamentals of Acoustics, 4th Edition , 1999 .

[15]  Carl Wunsch,et al.  Ocean acoustic tomography: a scheme for large scale monitoring , 1979 .

[17]  Fallat,et al.  Hybrid geoacoustic inversion of broadband Mediterranean Sea data , 2000, The Journal of the Acoustical Society of America.

[18]  W. Kuperman,et al.  Computational Ocean Acoustics , 1994 .

[19]  W. M. Carey,et al.  Results from an autonomous underwater vehicle towed hydrophone array experiment in Nantucket Sound , 2006 .

[20]  N. R. Chapman,et al.  A hybrid simplex genetic algorithm for estimating geoacoustic parameters using matched-field inversion , 1999 .

[21]  Kenneth E. Hawker A normal mode theory of acoustic Doppler effects in the oceanic waveguide , 1979 .

[22]  Arthur B. Baggeroer,et al.  An overview of matched field methods in ocean acoustics , 1993 .

[23]  Henrik Schmidt,et al.  Spectral and modal representations of the Doppler‐shifted field in ocean waveguides , 1994 .

[24]  Peter Gerstoft,et al.  Inversion of seismoacoustic data using genetic algorithms and a posteriori probability distributions , 1994 .

[25]  Bien Aik Tan,et al.  Broadband synthetic aperture geoacoustic inversion. , 2013, The Journal of the Acoustical Society of America.