A technique has been developed for incorporating adaptively beamformed (ABF) data into geoacoustic inversions and source localizations based on matched-field processing. Rather than adaptively adjusting matched-field weights, for this paper ABF processing is applied to construct subaperture beam data from which the inversions and localizations are derived. This application of ABF processing to inversion and localization is successfully demonstrated with data collected on a horizontal line array from a surface ship of opportunity source (SSOS). When measured data representing noise from one or more interfering sources at various levels are injected into the data collected from the SSOS, the inversion processing with ABF subaperture data is successful at interferer noise levels exceeding the SSOS levels by and for which the inversion processing with conventionally beamformed data fails.
REFERENCES
1.
H.
Cox
, R. M.
Zeskind
, and M. M.
Owen
, “Robust adaptive beamforming
,” IEEE Trans. Acoust., Speech, Signal Process.
35
, 1365
–1376
(1987
).2.
T. R.
Messerschmitt
and R. A.
Gramann
, “Evaluation of the dominant mode rejection beamformer using reduced integration times
,” IEEE J. Ocean. Eng.
22
, 385
–392
(1997
).3.
T. M.
Redheendran
, “Initial evaluation of the dominant mode rejection beamformer
,” J. Acoust. Soc. Am.
104
, 1331
–1344
(1998
).4.
N. O.
Booth
, A. T.
Abawi
, P. W.
Schey
, and W. S.
Hodgkiss
, “Detectability of low-level broad-band signals using adaptive matched-field processing with vertical aperture arrays
,” IEEE J. Ocean. Eng.
25
, 296
–313
(2000
).5.
A. B.
Baggeroer
, W. A.
Kuperman
, and H.
Schmidt
, “Matched field processing: Source localization in correlated noise as an optimum parameter estimation problem
,” J. Acoust. Soc. Am.
83
, 571
–587
(1988
).6.
H.
Schmidt
, A. B.
Baggeroer
, W. A.
Kuperman
, and E. K.
Scheer
, “Environmentally tolerant beamforming for high-resolution match field processing: deterministic mismatch
,” J. Acoust. Soc. Am.
88
, 1851
–1862
(1990
).7.
C.
Soares
, S. M.
Jesus
, and E.
Coelho
, “Environmental inversion using high-resolution matched-field processing
,” J. Acoust. Soc. Am.
122
, 3391
–3404
(1997
).8.
K.
Yoo
and T. C.
Yang
, “Adaptive matched beam processing for source localization
,” J. Acoust. Soc. Am.
106
, 2127
(1999
).9.
S. A.
Stotts
, “A robust spatial filtering technique for multisource localization and geoacoustic inversion
,” J. Acoust. Soc. Am.
118
, 139
–162
(2005
).10.
R. A.
Koch
and D. P.
Knobles
, “Geoacoustic inversion with ships as sources
,” J. Acoust. Soc. Am.
117
, 626
–637
(2005
).11.
R. B.
Newman
, “Simultaneous inversion for source track and sediment parameter values from acoustic signals generated by a ship of opportunity in a soft sediment shallow water waveguide
,” MS thesis, The University of Texas at Austin
(2005
).12.
S.
Stotts
and B.
Hawkins
, “Application of adaptive beamforming to geoacoustic inversion and source localization
,” J. Acoust. Soc. Am.
118
, 1857
(2005
).13.
D. P.
Knobles
, R. A.
Koch
, L. A.
Thompson
, and P. E.
Eisman
, “Broadband sound propagation in shallow water and geoacoustic inversion
,” J. Acoust. Soc. Am.
113
, 205
–222
(2003
).14.
E. A.
Ritterman
, “Geoacoustic inversion in multiple source environments
,” MS thesis, The University of Texas at Austin
(2004
).15.
D. E.
Grant
, J. H.
Gross
, and M. Z.
Lawrence
, “Cross-spectral matrix estimation effects on adaptive beamforming
,” J. Acoust. Soc. Am.
98
, 517
–524
(1995
).16.
S.
Kirkpatrick
, C. D.
Gelatt
, Jr., and M. P.
Vecchi
, “Optimization by simulated annealing
,” Science
220
, 671
–680
(1983
).17.
W. L.
Goffe
, G. D.
Ferrier
, and J.
Rogers
, “Global optimization of statistical functions with simulated annealing
,” J. Econometr.
60
, 65
–100
(1994
).18.
S. A.
Stotts
, R. A.
Koch
, S. M.
Joshi
, V. T.
Nguyen
, V. W.
Ferreri
, and D. P.
Knobles
, “Geoacoustic inversions of horizontal and vertical line array acoustic data from a surface ship source of opportunity
,” IEEE J. Ocean. Eng.
In press (2010
).19.
R. A.
Koch
and J. E.
LeMond
, Software requirements specification for the NAUTILUS model (Version 1.0), ARL-TL-EV-01-18, April (2001
).20.
R. A.
Koch
and J. E.
LeMond
, Software test description for the NAUTILUS model (Version 1.0), ARL-TL-EV-01-19, April (2001
).21.
R. A.
Koch
and J. E.
LeMond
, Software design description for the NAUTILUS model (Version 1.0), ARL-TL-EV-01-17, April (2001
).22.
R. B.
Newman
and R. A.
Koch
, Software description for the NAUTILUS subroutine, ARL-TL-EV-03-09, April 18 (2003
).23.
S. A.
Stotts
, D. P.
Knobles
, R. A.
Koch
, D. E.
Grant
, K. C.
Focke
, and A. J.
Cook
, “Geoacoustic inversion in range-dependent ocean environments using a plane wave reflection coefficient approach
,” J. Acoust. Soc. Am.
115
, 1078
–1102
(2004
).24.
S. E.
Dosso
, “Quantifying uncertainty in geoacoustic inversion. I. A fast Gibbs sampler approach
,” J. Acoust. Soc. Am.
111
, 129
–142
(2002
).25.
S. E.
Dosso
and P. L.
Nielsen
, “Quantifying uncertainty in geoacoustic inversion. II. Application to broadband, shallow-water data
,” J. Acoust. Soc. Am.
111
, 143
–159
(2002
).© 2010 Acoustical Society of America.
2010
Acoustical Society of America
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