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Mike Boyd Senior Principal Physicist mike@apl.washington.edu Phone 206-543-1391 |
Research Interests
Computer Simulation and Analysis
Biosketch
Michael Boyd has experience in environmental data extraction (inversion), acoustic modeling, and sonar performance prediction for both high frequency (topedo) and low frequency (ASW) systems. His current work includes using acoustic inversion techniques to extract environmental information and applying that information to tactical decision aids in use by the U.S. Navy.
He is also involved in the evaluation of sonar performance prediction models and has provided independent verification and validation of proposed Navy standard performance prediction models (CASTAR, ASPM, GRAB) for CNMOC. Mr. Boyd has been a member of the Laboratory since 1973.
Education
B.A. Mathematics and Physics, Austin College, 1967
Publications |
2000-present and while at APL-UW |
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Noise background levels and noise event tracking/characterization under the Arctic ice pack: Experiment, data analysis, and modeling Williams, K.L., M.L. Boyd, A.G. Soloway, E.I. Thorsos, S.G. Kargl, and R.I. Odom, "Noise background levels and noise event tracking/characterization under the Arctic ice pack: Experiment, data analysis, and modeling," IEEE J. Ocean. Eng., 43, 145-159, doi:10.1109/JOE.2017.2677748, 2018. |
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1 Jan 2018 ![]() |
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In March 2014, an Arctic Line Arrays System (ALAS) was deployed as part of an experiment in the Beaufort Sea (approximate location 72.323 N, 146.490 W). The water depth was greater than 3500 m. The background noise levels in the frequency range from 1 Hz to 25 kHz were measured. The goal was to have a three-dimensional sparse array that would allow determination of the direction of sound sources out to hundreds of kilometers and both direction and range of sound sources out to 12 km from the center of the array. ALAS started recording data at 02:12 on March 10, 2014 (UTC). It recorded data nearly continuously at a sample rate of 50 kHz until 11:04 on March 24, 2014. Background noise spectral levels are presented for low and high floe-drift conditions. Tracking/characterization results for ice-cracking events (with signatures typically in the 102000-Hz band), including the initiation of an open lead within about 400 m of the array, and one seismic event (with a signature in the 140-Hz band) are presented. Results from simple modeling indicate that the signature of a lead formation may be a combination of both previously hypothesized physics and enhanced emissions near the ice plate critical frequency (where the flexural wave speed equals that of the water sound speed). For the seismic event, the T-wave arrival time results indicate that a significant amount of energy coupled to T-wave energy somewhere along the path between the earthquake and ALAS. |
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Corrections to A Geoactoustic Bottom Interaction Model (GABIM) [Jul 10 603-617] Jackson, D.R., R.I. Odom, M.L. Boyd, and A.N. Ivakin, "Corrections to A Geoactoustic Bottom Interaction Model (GABIM) [Jul 10 603-617]," IEEE J. Ocean. Eng., 36, 373, doi:10.1109/JOE.2011.2117030, 2011. |
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1 Apr 2011 ![]() |
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This communication corrects errors and supplies missing parameter values for a previous publication by the authors (ibid., vol. 35, no. 3, pp. 603-617, Jul. 2010) regarding the geoacoustic bottom interaction model (GABIM). |
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A geoacoustic bottom interaction model (GABIM) Jackson, D.R., R.I. Odom, M.L. Boyd, and A.N. Ivakin, "A geoacoustic bottom interaction model (GABIM)," IEEE J. Ocean. Eng., 35, 603-617, 2010. |
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29 Jul 2010 ![]() |
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The geoacoustic bottom interaction model (GABIM) has been developed for application over the low-frequency and midfrequency range (100 Hz to 10 kHz). It yields values for bottom backscattering strength and bottom loss for stratified seafloors. The model input parameters are first defined, after which the zeroth-order, nonrandom problem is discussed. Standard codes are used to obtain bottom loss, uncorrected for scattering, and as the first step in computation of scattering. The kernel for interface scattering employs a combination of the Kirchhoff approximation, first-order perturbation theory, and an empirical expression for very rough seafloors. The kernel for sediment volume scattering can be chosen as empirical or physical, the latter based on first-order perturbation theory. Examples are provided to illustrate the various scattering kernels and to show the behavior predicted by the full model for layered seafloors. Suggestions are made for improvements and generalizations of the model. |