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Environmental Variability on Acoustic Prediction Using CASS/GRAB. Nick A. Vares June 2002. Purpose. Determine the impact of bottom type and wind variations due to limited data on bottom moored mine detection Determine the significance of transducer depth on bottom moored mine detection.

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Presentation Transcript
purpose
Purpose
  • Determine the impact of bottom type and wind variations due to limited data on bottom moored mine detection
  • Determine the significance of transducer depth on bottom moored mine detection
relevance
Relevance
  • Littoral engagement
  • Mine warfare
  • Diesel submarines
  • Unmanned Undersea Vehicles (UUVs)
cass grab
CASS/GRAB
  • Comprehensive Acoustic Simulation System (CASS)
  • Gaussian Ray Bundle (GRAB) Eigenray model
  • Navy standard model for active and passive range dependent acoustic propagation, reverberation and signal excess
  • Frequency range 600Hz to 100 kHz
cass grab model description
CASS/GRAB Model Description
  • The CASS model is the range dependent improvement of the Generic Sonar Model (GSM). CASS performs signal excess calculations.
  • The GRAB model is a subset of the CASS model and its main function is to compute eigenrays and propagation loss as inputs in the CASS signal excess calculations.
comprehensive acoustic simulation system guassian ray bundle cass grab
Comprehensive Acoustic Simulation System/Guassian Ray Bundle (CASS/GRAB)
  • In the GRAB model, the travel time, source angle, target angle, and phase of the ray bundles are equal to those values for the classic ray path.
  • The main difference between the GRAB model and a classic ray path is that the amplitude of the Gaussian ray bundles is global, affecting all depths to some degree whereas classic ray path amplitudes are local. GRAB calculates amplitude globally by distributing the amplitudes according to the Gaussian equation
mine hunting sonar
Mine Hunting Sonar
  • Generic VHF forward looking
  • CASS/GRAB input file for MIW with signal excess output
  • Generic bottom moored mine
an sqq 32 mine hunting sonar system
AN/SQQ-32 Mine Hunting Sonar System
  • The CASS/GRAB Acoustic model input file used in this study simulates a VHF forward looking sonar, similar to the Acoustic Performance of the AN/SQQ-32.
  • The AN/SQQ-32 is the key mine hunting component of the U.S. Navy’s Mine Hunting and Countermeasure ships.
cass grab input parameters
Bottom depth

Target depth

Transducer depth

Wind speed

Bottom type grain size index

Frequency min/max

Self noise

Source level

Pulse length

Target strength/depth

Transmitter tilt angle

Surface scattering /reflection model

Bottom scattering /reflection model

CASS/GRAB Input Parameters
bottom type variability
Bottom Type Variability
  • Muddy sand (3.0) and sandy silt (5.0)
  • Grain size index variation + 1.0 in 0.5 increments
  • 5.14 m/s, - 40, bottom 30 m, transducer 5.18 m
yellow sea bottom sediment chart
Yellow Sea Bottom Sediment Chart
  • Bottom Sediment types can vary greatly over a small area
    • Mud
    • Sand
    • Gravel
    • Rock
wind variability
Wind Variability
  • Muddy sand (3.0) and sandy silt (5.0)
  • Tilt angle - 40, bottom 30 m, transducer 5.18 m
  • 5.14 + 2.57 m/s wind
an sqq 32 employment
AN/SQQ-32 Employment
  • Variable depth high frequency sonar system
    • Sonar can be place at various positions in the water column to optimize the detection of either moored or bottom mines.
transducer 5 18 m vs 25 m
Transducer 5.18 m vs 25 m
  • Tilt angles + 40 to – 120
  • Wind 2.57 to 12.86 m/s
  • Coarse sand to silt bottoms
  • 30 m water depth
conclusions
Conclusions
  • Bottom type and wind variability are important for sandy silt detections
  • Bottom type and wind data variability are on the order of a few decibels
  • Deep transducers provide higher signal excess for most detectable cases
recommendations
Recommendations
  • Sensor improvements of a few decibels are significant for detection
  • Money would be better spent on sensor development
  • Employment of sensors deeper aids bottom moored mine detection