Broadband Synthetic Aperture Matched Field Geoacoustic Inversion

作者: Bien Aik Tan

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摘要: A typical geoacoustic inversion procedure involves powerful source transmissions received on a large-aperture receiver array. more practical approach is to use moving single source/receiver, broadband, frequency- coherent matched-field strategy that exploits coherently repeated improve estimation of the parameters. The long observation time creates synthetic aperture due relative source- motion. To correlate well with measured field, waveguide Doppler and normal mode theory applied. However, this method uses model constrains source/receiver radial velocity be constant. As result, performance degrades when acceleration exists. Furthermore, processing train pulses all-at-once does not take advantage natural incremental acquisition new along ability assess temporal evolution parameter uncertainty. Therefore, recursive Bayesian developed processes data pulse-by-pulse incrementally updates estimates It also approximates by assuming piecewise constant but linearly changing velocities. When exists, it shown modeling can reduce further biases uncertainties. Finally, above methods depended assumption underlying geophysical change-point detection proposed detect change in parameters using importance samples corresponding weights already are available from inversion. If abruptly, will detected restart pulse measurement after change-point. gradually, (based parameters) may proceed estimate an averaged value until accumulated mismatch significant triggers These form heuristics for controlling integration Examples based either synthetically generated acoustic fields or set low SNR, 100-900 Hz LFM pair Shallow Water 2006 experiment

参考文章(65)
Ryan Prescott Adams, David JC MacKay, None, Bayesian Online Changepoint Detection arXiv: Machine Learning. ,(2007)
Sanjeev Arulampalam, Branko Ristic, Neil Gordon, Beyond the Kalman Filter: Particle Filters for Tracking Applications ,(2004)
M. B. Porter, The KRAKEN normal mode program Unknown. ,(1992)
Caglar Yardim, Peter Gerstoft, William S. Hodgkiss, Statistical maritime radar duct estimation using hybrid genetic algorithm–Markov chain Monte Carlo method Radio Science. ,vol. 42, pp. 1- 15 ,(2007) , 10.1029/2006RS003561
Donald P. Massa, Juan I. Arvelo, A wideband moving coil electrodynamic transducer system for autonomous underwater vehicle-based geoacoustic inversion Journal of the Acoustical Society of America. ,vol. 132, pp. 1920- 1920 ,(2012) , 10.1121/1.4755048
Charles W. Holland, Peter L. Nielsen, Jan Dettmer, Stan Dosso, Resolving meso-scale seabed variability using reflection measurements from an autonomous underwater vehicle. Journal of the Acoustical Society of America. ,vol. 131, pp. 1066- 1078 ,(2012) , 10.1121/1.3672696
J. Bonnel, C. Gervaise, B. Nicolas, J. I. Mars, Single-receiver geoacoustic inversion using modal reversal The Journal of the Acoustical Society of America. ,vol. 131, pp. 119- 128 ,(2012) , 10.1121/1.3664083
John A. Fawcett, Stan E. Dosso, Inversion for a moving spherical target's positional, structural, and speed parameters. Journal of the Acoustical Society of America. ,vol. 134, pp. 67- 76 ,(2013) , 10.1121/1.4807317