Environmental Variability on Acoustic Prediction Using CASS/GRAB Nick A. Vares June 2002.

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Environmental Environmental Variability on Variability on Acoustic Acoustic Prediction Using Prediction Using CASS/GRAB CASS/GRAB Nick A. Vares Nick A. Vares June 2002 June 2002

Transcript of Environmental Variability on Acoustic Prediction Using CASS/GRAB Nick A. Vares June 2002.

Page 1: Environmental Variability on Acoustic Prediction Using CASS/GRAB Nick A. Vares June 2002.

Environmental Environmental Variability on Variability on

Acoustic Prediction Acoustic Prediction Using CASS/GRABUsing CASS/GRAB

Nick A. VaresNick A. Vares

June 2002June 2002

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PurposePurpose

Determine the impact of bottom Determine the impact of bottom type and wind variations due to type and wind variations due to limited data on bottom moored limited data on bottom moored mine detectionmine detection

Determine the significance of Determine the significance of transducer depth on bottom transducer depth on bottom moored mine detectionmoored mine detection

Page 3: Environmental Variability on Acoustic Prediction Using CASS/GRAB Nick A. Vares June 2002.

RelevanceRelevance

Littoral engagementLittoral engagement Mine warfareMine warfare Diesel submarinesDiesel submarines Unmanned Undersea Vehicles Unmanned Undersea Vehicles

(UUVs)(UUVs)

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CASS/GRABCASS/GRAB Comprehensive Acoustic Comprehensive Acoustic

Simulation System (CASS)Simulation System (CASS) Gaussian Ray Bundle (GRAB) Gaussian Ray Bundle (GRAB)

Eigenray modelEigenray model Navy standard model for active Navy standard model for active

and passive range dependent and passive range dependent acoustic propagation, acoustic propagation, reverberation and signal excessreverberation and signal excess

Frequency range 600Hz to 100 kHzFrequency range 600Hz to 100 kHz

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CASS/GRAB Model CASS/GRAB Model DescriptionDescription

The CASS model is the The CASS model is the range dependent range dependent improvement of the Generic improvement of the Generic Sonar Model (GSM). CASS Sonar Model (GSM). CASS performs signal excess performs signal excess calculations.calculations.

The GRAB model is a subset The GRAB model is a subset of the CASS model and its of the CASS model and its main function is to compute main function is to compute eigenrays and propagation eigenrays and propagation loss as inputs in the CASS loss as inputs in the CASS signal excess calculations.signal excess calculations.

CASSComprehensive Acoustic

System Simulation

Propagation Model 1: FAME

Propagation Model 3: COLOSSUSPropagation Model 4: AMOS equations

Backscatter ModelsReverberationNoise Models

Signal to NoiseSignal Excess

Graphic DisplaysSystem Parameters (Beamforming)

Propagation Model 2: GRAB Gaussian Ray Bundle OAML GRAB v1.0

Environmental Interpolations Environmental Model Interpolations Surface and Bottom Forward Loss Volume Attenuation Sound Speed Algorithms Call GRAB

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Comprehensive Acoustic Comprehensive Acoustic Simulation Simulation

System/Guassian Ray System/Guassian Ray Bundle (CASS/GRAB)Bundle (CASS/GRAB)

In the GRAB model, the travel time, source angle, target In the GRAB model, the travel time, source angle, target angle, and phase of the ray bundles are equal to those angle, and phase of the ray bundles are equal to those values for the classic ray path. values for the classic ray path.

The main difference between the GRAB model and a classic The main difference between the GRAB model and a classic ray path is that the amplitude of the Gaussian ray bundles ray path is that the amplitude of the Gaussian ray bundles is global, affecting all depths to some degree whereas is global, affecting all depths to some degree whereas classic ray path amplitudes are local. GRAB calculates classic ray path amplitudes are local. GRAB calculates amplitude globally by distributing the amplitudes according amplitude globally by distributing the amplitudes according to the Gaussian equationto the Gaussian equation

,

,

exp . ( ) /0

22

205

p rz z

r

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Mine Hunting SonarMine Hunting Sonar

Generic VHF forward lookingGeneric VHF forward looking CASS/GRAB input file for MIW with CASS/GRAB input file for MIW with

signal excess outputsignal excess output Generic bottom moored mineGeneric bottom moored mine

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AN/SQQ-32 Mine Hunting AN/SQQ-32 Mine Hunting Sonar SystemSonar System

The CASS/GRAB The CASS/GRAB Acoustic model input Acoustic model input file used in this study file used in this study simulates a VHF simulates a VHF forward looking sonar, forward looking sonar, similar to the Acoustic similar to the Acoustic Performance of the Performance of the AN/SQQ-32. AN/SQQ-32.

The AN/SQQ-32 is the The AN/SQQ-32 is the key mine hunting key mine hunting component of the U.S. component of the U.S. Navy’s Mine Hunting Navy’s Mine Hunting and Countermeasure and Countermeasure ships.ships.

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Detection Sonar and Detection Sonar and Classification Sonar Classification Sonar AssemblyAssembly

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CASS/GRAB Input CASS/GRAB Input ParametersParameters

Bottom depthBottom depth Target depthTarget depth Transducer depthTransducer depth Wind speedWind speed Bottom type grain Bottom type grain

size indexsize index Frequency min/maxFrequency min/max Self noiseSelf noise

Source levelSource level Pulse lengthPulse length Target strength/depthTarget strength/depth Transmitter tilt angleTransmitter tilt angle Surface scattering Surface scattering

/reflection model/reflection model Bottom scattering Bottom scattering

/reflection model/reflection model

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Bottom Type Geoacoustic Bottom Type Geoacoustic PropertiesProperties

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Bottom Type VariabilityBottom Type Variability

Muddy sand (3.0) and sandy silt Muddy sand (3.0) and sandy silt (5.0)(5.0)

Grain size index variation Grain size index variation ++ 1.0 in 1.0 in 0.5 increments0.5 increments

5.14 m/s, - 45.14 m/s, - 400, bottom 30 m, , bottom 30 m, transducer 5.18 mtransducer 5.18 m

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Yellow Sea Yellow Sea Bottom Bottom Sediment ChartSediment Chart

Bottom Bottom Sediment types Sediment types can vary greatly can vary greatly over a small areaover a small area

1.1. MudMud

2.2. SandSand

3.3. GravelGravel

4.4. RockRock

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Wind VariabilityWind Variability

Muddy sand (3.0) and sandy silt Muddy sand (3.0) and sandy silt (5.0)(5.0)

Tilt angle - 4Tilt angle - 400, bottom 30 m, , bottom 30 m, transducer 5.18 mtransducer 5.18 m

5.14 5.14 ++ 2.57 m/s wind 2.57 m/s wind

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AN/SQQ-32 EmploymentAN/SQQ-32 Employment

Variable depth Variable depth high frequency high frequency sonar system sonar system Sonar can be Sonar can be

place at various place at various positions in the positions in the water column to water column to optimize the optimize the detection of detection of either moored or either moored or bottom mines. bottom mines.

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Transducer 5.18 m vs 25 Transducer 5.18 m vs 25 mm

Tilt angles + 4Tilt angles + 400 to – 12 to – 120 0

Wind 2.57 to 12.86 m/sWind 2.57 to 12.86 m/s Coarse sand to silt bottomsCoarse sand to silt bottoms 30 m water depth30 m water depth

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ConclusionsConclusions

Bottom type and wind variability are Bottom type and wind variability are important for sandy silt detectionsimportant for sandy silt detections

Bottom type and wind data variability Bottom type and wind data variability are on the order of a few decibelsare on the order of a few decibels

Deep transducers provide higher Deep transducers provide higher signal excess for most detectable signal excess for most detectable casescases

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RecommendationsRecommendations

Sensor improvements of a few Sensor improvements of a few decibels are significant for decibels are significant for detectiondetection

Money would be better spent on Money would be better spent on sensor developmentsensor development

Employment of sensors deeper Employment of sensors deeper aids bottom moored mine aids bottom moored mine detectiondetection