Models of Acoustic Wave Scattering at khz from Turbulence in Shallow Water

Similar documents
Acoustic Monitoring of Flow Through the Strait of Gibraltar: Data Analysis and Interpretation

Satellite Observations of Nonlinear Internal Waves and Surface Signatures in the South China Sea

International Journal of Research in Computer and Communication Technology, Vol 3, Issue 1, January- 2014

Dispersion of Sound in Marine Sediments

High Frequency Acoustical Propagation and Scattering in Coastal Waters

MURI: Impact of Oceanographic Variability on Acoustic Communications

Reverberation, Sediment Acoustics, and Targets-in-the-Environment

Analysis of South China Sea Shelf and Basin Acoustic Transmission Data

Exploitation of Environmental Complexity in Shallow Water Acoustic Data Communications

Tracking of Rapidly Time-Varying Sparse Underwater Acoustic Communication Channels

Geoacoustic inversions using Combustive Sound Sources (CSS)

HIGH-FREQUENCY ACOUSTIC PROPAGATION IN THE PRESENCE OF OCEANOGRAPHIC VARIABILITY

Bio-Alpha off the West Coast

3D Propagation and Geoacoustic Inversion Studies in the Mid-Atlantic Bight

Modal Mapping in a Complex Shallow Water Environment

Mid-Frequency Reverberation Measurements with Full Companion Environmental Support

High Frequency Acoustic Channel Characterization for Propagation and Ambient Noise

Environmental Acoustics and Intensity Vector Acoustics with Emphasis on Shallow Water Effects and the Sea Surface

SW06 Shallow Water Acoustics Experiment

LONG TERM GOALS OBJECTIVES

Reverberation, Sediment Acoustics, and Targets-in-the-Environment

ONR Graduate Traineeship Award in Ocean Acoustics for Sunwoong Lee

Observation of sound focusing and defocusing due to propagating nonlinear internal waves

MIMO Transceiver Systems on AUVs

Travel time estimation methods for mode tomography

Remote Sediment Property From Chirp Data Collected During ASIAEX

DISTRIBUTION STATEMENT A. Approved for public release; distribution is unlimited.

Fluctuations of Broadband Acoustic Signals in Shallow Water

Broadband Temporal Coherence Results From the June 2003 Panama City Coherence Experiments

Fluctuations of Mid-to-High Frequency Acoustic Waves in Shallow Water

ACOUSTIC RESEARCH FOR PORT PROTECTION AT THE STEVENS MARITIME SECURITY LABORATORY

High-Frequency Acoustic Propagation in Shallow, Energetic, Highly-Salt-Stratified Environments

Marine time domain CSEM Growth of and Old/New Technology

ACMAC s PrePrint Repository

AN ACOUSTIC PIPELINE TRACKING AND SURVEY SYSTEM FOR THE OFFSHORE

Coverage Metric for Acoustic Receiver Evaluation and Track Generation

TARUN K. CHANDRAYADULA Sloat Ave # 3, Monterey,CA 93940

ON WAVEFORM SELECTION IN A TIME VARYING SONAR ENVIRONMENT

Acoustic Blind Deconvolution and Frequency-Difference Beamforming in Shallow Ocean Environments

Acoustic Blind Deconvolution in Uncertain Shallow Ocean Environments

Sonobuoy-Based Acoustic Characterization of Shallow-Water Environments

Guided Wave Travel Time Tomography for Bends

A New Scheme for Acoustical Tomography of the Ocean

DISTRIBUTION STATEMENT A. Approved for public release; distribution is unlimited.

Application of Hybrid Lidar-Radar Technology to a Laser Line Scan System

Mid-Frequency Noise Notch in Deep Water. W.S. Hodgkiss / W.A. Kuperman. June 1, 2012 May 31, 2013

Acoustic propagation affected by environmental parameters in coastal waters

Scaled Laboratory Experiments of Shallow Water Acoustic Propagation

ONR Post-doctoral Fellowship Award in Ocean Acoustic for Dr. Purnima Ratilal

SeaSonde Measurements in COPE-3

Quantifying Effects of Mid-Frequency Sonar Transmissions on Fish and Whale Behavior

North Pacific Acoustic Laboratory and Deep Water Acoustics

Development of Mid-Frequency Multibeam Sonar for Fisheries Applications

TREX13 data analysis/modeling

The HF oceanographic radar development in China. Wu Xiongbin School of Electronic Information Wuhan University

High Frequency Acoustic Channel Characterization for Propagation and Ambient Noise

27/11/2013' OCEANOGRAPHIC APPLICATIONS. Acoustic Current Meters

Shallow Water Fluctuations and Communications

Data Assimilation: Tools for Modelling the Ocean in a Global Change Perspective

Modeling Acoustic Signal Fluctuations Induced by Sea Surface Roughness

Modal Mapping Techniques for Geoacoustic Inversion and Source Localization in Laterally Varying, Shallow-Water Environments

ELECTROMAGNETIC PROPAGATION (ALT, TEC)

Direct Imaging of Group Velocity Dispersion Curves in Shallow Water Christopher Liner*, University of Houston; Lee Bell and Richard Verm, Geokinetics

Measurement and Analysis of High-Frequency Scattering Statistics And Sound Speed Dispersion

Mid-frequency sound propagation through internal waves at short range with synoptic oceanographic observations

Fluctuating arrivals of short-range acoustic data

New England Marine Energy Development System NEMEDS

Currents in Rivers Observed by Spaceborne Along-Track InSAR CuRiOSATI

The spatial structure of an acoustic wave propagating through a layer with high sound speed gradient

Analysis of South China Sea Shelf and Basin Acoustic Transmission Data

Passive Measurement of Vertical Transfer Function in Ocean Waveguide using Ambient Noise

Ocean Acoustic Propagation: Fluctuations and Coherence in Dynamically Active Shallow-Water Regions

Range-Depth Tracking of Sounds from a Single-Point Deployment by Exploiting the Deep-Water Sound Speed Minimum

Range-Depth Tracking of Sounds from a Single-Point Deployment by Exploiting the Deep-Water Sound Speed Minimum

Reverberation, Sediment Acoustics, and Targets-in-the-Environment

SATELLITE OCEANOGRAPHY

Evanescent Acoustic Wave Scattering by Targets and Diffraction by Ripples

Modeling high-frequency reverberation and propagation loss in support of a submarine target strength trial

Shallow-Water Propagation

PASSIVE ACOUSTIC AND SEISMIC TOMOGRAPHY WITH OCEAN AMBIENT NOISE IN ORION

SIGNAL DETECTION IN NON-GAUSSIAN NOISE BY A KURTOSIS-BASED PROBABILITY DENSITY FUNCTION MODEL

The Impact of Very High Frequency Surface Reverberation on Coherent Acoustic Propagation and Modeling

Ocean Acoustics and Signal Processing for Robust Detection and Estimation

Acoustic Communications and Navigation for Mobile Under-Ice Sensors

Test results of Array Type HF Radar in the eastern coast of Korea

Acoustic Clutter in Continental Shelf Environments

Agenda. Tuesday, 16 March (all times approximate!) Workshop logistics Workshop goals Brief background on SAX99 and SAX04

BROADBAND ACOUSTIC SIGNAL VARIABILITY IN TWO TYPICAL SHALLOW-WATER REGIONS

Bioacoustic Absorption Spectroscopy: Bio-alpha Measurements off the West Coast

Coherent Marine Radar. Measurements of Ocean Wave Spectra and Surface Currents

Recent Developments in NOAA s Real- Time Coastal Observing Systems for Safe and Efficient Maritime Transportation

EM Propagation (METOC Impacts)

Shallow Water Array Performance (SWAP): Array Element Localization and Performance Characterization

High-Frequency Rapid Geo-acoustic Characterization

EIS - Electronics Instrumentation Systems for Marine Applications

Acoustic Clutter in Continental Shelf Environments

Ocean Acoustic Observatories: Data Analysis and Interpretation

CHANNEL MODELS, INTERFERENCE PROBLEMS AND THEIR MITIGATION, DETECTION FOR SPECTRUM MONITORING AND MIMO DIVERSITY

Sonobuoy-Based, 3-D Acoustic Characterization of Shallow-Water Environments

WS15-B02 4D Surface Wave Tomography Using Ambient Seismic Noise

Transcription:

Models of Acoustic Wave Scattering at.-1 khz from Turbulence in Shallow Water Tokuo Yamamoto Division of Applied Marine Physics, RSMAS, University of Miami, 6 Rickenbacker Causeway Miami, FL 3319 phone: (35) 1-637 fax: (35) 1-71 email: tyamamoto@rsmas.miami.edu Award Number: N1813 LONG-TERM GOALS Long term goals are to better understand the physics of acoustic wave propagation in turbulence. Long-term goals are to develop mathematical model of acoustic wave scattering in turbulence, observe acoustic wave scattering (attenuation) in turbulence, and compare model with observation. This scheme is also extended to internal wave. All the mechanisms involved in the process of scattering and attenuation will be observed and compared with theory. OBJECTIVES The scientific and technological objectives are to develop a shallow ocean model assimilated with acoustic data. Also other objectives are to develop acoustic tomography to image the current velocity and turbulence in 3D space. The other objectives are to image acoustic wave scattering and attenuation. The objectives are to apply the numerical inverse methods to locate the trace of a submarine, manned and unmanned submersibles, and torpedo. APPROACH 1. Develop shallow ocean model with data assimilation of tide gages, and acoustic data in real time.[data assimilation model to be built as fund become available.]. Develop theoretical and numerical models of acoustic wave propagation in turbulent current. 3. Extract the turbulent structure from the archived (Kanmon Strait) data of average current and free stream turbulence inversely using the theoretical and numerical models of (). The complete Kanmon Strait data were presented to the author by Dr. Arata Kaneko.. Compare the turbulent structure determined from data with the theoretical prediction. 5. Extract the acoustic wave attenuation and scattering from the Kanmon Strait data using tomography technique. 6. Repeat step 1 to 5 for internal wave when the tasks for turbulence will have been finished. 1

7. Dr. Yamamoto will take over all tasks 1 to 5. Dr. Mohsen Badiey will supply his tomography data to PI. Also, Robert Field of NRL-SSC will provide his acoustic wave transmission data through turbulence and internal wave. The PI and Altan Turgut will collaborate in the work of Ship noise propagation. The PI s analytical wave turbulence interaction will be used on Turgut data for the influence of turbulence on the Noise propagation. The experimental data will be compared with the theoretical and numerical models of acoustic wave propagation through turbulence. WORK COMPLETED Model of Acoustic Wave Propagation, Scattering and Attenuation in Turbulence An analytical solution for acoustic wave scattering in turbulence (or internal wave) was derived. Accurate Prediction of Oceanography by Data Assimilation [for Data Assimilation funding are being requested] The locations of eight acoustic source-receiver pairs are given by solid dots in Figure 1. The number of acoustic pair starts from the west end on the north shore and turn clockwise. The area of tomography coverage is 15 m wide x 5 m. Three predictions of current field are compared in Figure 1. The red arrows are from ADCP. The black arrows are from acoustic tomography. White arrows are prediction by Princeton Ocean Model (POM) with kalman filter assimilation with a tide gage and selected acoustic transmission data from tomography rays. The assimilated POM is the most accurate. At this phase of tidal current, the maximum current (~ m/s) runs against the Northern shore while flow separation and a large counter crock wise eddy (~1 m/s) occupies the space between the midway and Southern shore. It is observed that acoustic wave attenuate below noise level when it travel (K1 to K5) through a high velocity current (~ m/s) as shown in Figure. Attenuation is small for acoustic wave propagates through a large eddy (K8 to K5) with low current velocity (~1 m/s) as shown in Figure 3. These experimental facts are all predicted well by the theoretical model. It is accomplished that the tidal current produces free stream turbulence proportional to the square of current velocity in shallow waters like Kanmon Strait. Where there is a high current there is strong turbulence and acoustic wave scatter off its energy strongly and attenuate strongly. On the other hand, where there is a low current, there is low turbulence energy. Acoustic wave hardly scatters its energy and propagates without loosing energy much. IMPACT/APPLICATIONS Theoretical means to accurately predict the behavior of free stream turbulence has been established and being validated by At Sea experiment. This method can be applied to locate submarine after careful submarine location experiments will have been done to verify the theoretical models. TRANSITIONS A potential future transition applies to the theoretical model to determine the behavior of free stream turbulence leading to location of submarines.

RELATED PROJECTS Mohsen Badiey, Acoustic tomography using vector sensors. Robert Fields, Acoustic wave propagation in Shallow Waters. Altan Tugut, Use of ship noise for characterizing bottom sediments. REFERENCES Ishimaru, Akira, Wave propagation and scattering in Random Media, Volume 1 and ; Academic Press, Inc. New York, NY 1978. Tatarski, Victor, Wave Propagation in a Turbulent Medium: McGraw-Hill Book Company, Inc. English Translation 1961 PUBLICATIONS Yamamoto, T and Yamaoka, H, Acoustical Observations of Internal Wave Evolutions in New York Continental Margin: IEEE Oceanographic Engineering, [Being Reviewed] Badiey, M., and Yamamoto, T., High-frequency acoustic current tomography in shallow water; Journal of Acoustical Society of America [Under Review]. Turgut, A. and Yamamoto, T., In-Situ Measurements of Velocity Dispersion and Attenuation in New Jersey Shelf Sediments: Journal of Acoustical Society of America, Extended Abstract [IN PRESS] Sakakibara, J. and Yamamoto, T., Development of High Resolution Measurement Method of Earth Structure Using High Frequency Acoustic Wave: Japan Society of Civil Engineers Journal of Geotechnical Engineering [Under Review]. Badiey, M., and Yamamoto, T., High-frequency acoustic current tomography in shallow water; Journal of Acoustical Society of America [Being Reviewed]. Turgut, A. and Yamamoto, T., In-Situ Measurements of Velocity Dispersion and Attenuation in New Jersey Shelf Sediments: Journal of Acoustical Society of America, Extended Abstract [IN PRESS] Sakakibara, J. and Yamamoto, T., Development of High Resolution Measurement Method of Earth Structure Using High Frequency Acoustic Wave: Japan Society of Civil Engineers Journal of Geotechnical Engineering [Under Review]. 3

Figure 1. The red arrows are from ADCP. The black arrows are from acoustic tomography. White arrows are prediction by Princeton Ocean Model (POM) with kalman filter assimilation with a tide gage and selected acoustic transmission data.

K1->K5 Hydr Hydr1 Hydr Hydr3 138 1 1 1 16 18 15 15 15 156 158 Time(ms) Figure. Received correlation wave form. M-sequence length is 13. Signal propagates from station K1 to K5 range 3 m. K1-K5 path goes through a very strong tidal current. Due to the strong current (~ m/s), strong turbulence is generated. Thus, acoustic wave scatter strongly and attenuate strongly. Signal is buried under noise and can not be detected. 5

K8->K5 Hy d r 1 Hy d r1 1 Hy d r 1 Hy d r3 1 136 138 1 1 1 16 18 15 15 15 156 Time(ms) Figure 3. Received Correlation Wave Form for 13 digits M sequence signal for signal transmission from K8 to K5, 3 m. As can be seen in Figure 1, the path K8-K5 is in the slowly moving eddy (~1 m/s). This is why K8-K5 has very high S/N = 18. The analytical model predicts this very well. 6