SBIR 2004'2 Topic 04175 Acoustic Surveillance Multiarray Search Aid

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SBIR 2004.2 Topic 04-175Acoustic
SurveillanceMulti-array Search Aid

• Don Ringel, TPOC

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Purpose

• Summarize intent of SBIR 4-175
• Provide amplifying information addressing
• Sensor Types and Environments
• Automation Inputs to Multi-Array Correlation
  Processing
• Measures of Effectiveness
• Intended Processing System Environment
• Suggested Area for Exploration

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Intent of SBIR 04-175

• Develop Multi-Array Correlation processing which
  can be integrated into overall IUSS processing
  system to dramatically reduce the amount of
  low-level acoustic processing output which must
  be examined by operators
• Process would use outputs of existing
  single-array automation tools
• Would produce a geographic scene of
  yet-to-be-classified contacts.
• Would allow drill-down to supporting automation
  data or raw acoustic processor output for any
  operator selected contact produced by fusion
  process
• Successful product would reduce operator
  workload, allowing reduced manning and allow
  operators to concentrate on analyzing contacts
  vice searching for and detecting contacts

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Sensor Types and Environment

• Types
• Acoustic Line Arrays with lengths varying from
  several hundred feet to several thousand feet
• For this effort arrays normally deployed on
  bottom in fields allowing for at least occasional
  multi-sensor simultaneous contact
• Environment
• Ocean depth environments vary from deep water
  basins (gt2 miles) to littoral waters

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Automation Inputs to Fusion

• Single Array Feature Detectors
• Narrowband
• Individual narrow band line trackers
• Produce frequency and bearing vs time
• Harmonic set trackers
• Produce fundamental frequency and bearing vs time
  along with harmonic predominance
• Broadband trace trackers
• Produce bearing vs time
• Target-type specific feature detectors
• Detect target-type specific features and,
  depending on feature, may produce frequency and
  bearing vs time

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Obtaining Inputs from Automation Processes (Phase
1)

• Navy can provide description of data formats, and
  rates along with sample outputs from one array at
  a time
• For phase 1, multi-array outputs would have to be
  simulated

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Comments on Measures of Effectiveness

• Correct associations are more important than
  complete associations
• When automation features are associated it is
  critical that they arise from same in-water unit,
  so that false (or phantom) contact positions are
  not generated.
• Generating two contacts at nearby locations (when
  there is only one in-water unit) is not a
  critical error as long as each partial contact is
  based on correctly associated features
• For contact positions optimum balance between
  probability of containment and area of
  uncertainty must be achieved.
• Desire high probability of containment while
  taking advantage of all localization clues and
  accounting for estimated measurement accuracy

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Intended Processing System Environment (Target
System)

• Operationally, the Multi-Array Correlation
  product would run on a server within the IUSS
  Common Processing (ICP) segment configuration
• Would obtain inputs from ICP data server and
  return outputs to ICP data server. Would not
  necessarily need to generate operator displays
  directly.
• There is an overall system software integrator in
  place.
• The ultimate product would need to be integrated
  into the overall system using software interfaces
  defined by the system integrator.
• Expected processing platform for the target
  system
• Intel Symmetric Multi-Processors running LINUX
• C programming language