The Deconvolution of Aerosol Backscattered Optical Pulses to Obtain System-Independent Aerosol Signatures.

Abstract

Means are discussed for extracting system-independent aerosol signatures from aerosol backscatter measurements obtained with a specific pencil beam active optical detection system. Such signatures are required before the backscatter data can be applied to various proposed optical fuze designs for determining their aerosol vulnerability and to the investigation of aerosol discrimination schemes. The measurement system, which has been used in numerous experiments to probe such aerosols as weather clouds and military smokes, is a short pulse GaAs laser probe (pulse width + or - 10 nanoseconds whose range sensitivity extends from near the system to beyond 10 meters. A computationally fast numerical deconvolution algorithm is devised together with a comprehensive supporting analysis. Both indicate that severe signal-to-noise ratio constraints apply to the achievement of meaningful superresolution. While the signal-to-noise ratios typical of recent measurements are likely to satisfy the severe constraints discovered, many of the earlier data are too noisy and thus require other signature determination methods.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1981
Accession Number
ADA104578

Entities

People

  • Dennis Mcguire
  • Michael Conner

Organizations

  • Harry Diamond Laboratories

Tags

Communities of Interest

  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Materials and Manufacturing Processes
  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Backscattering
  • Clouds
  • Cumulus Clouds
  • Detection
  • Equations
  • Extraction
  • Frequency
  • Lasers
  • Linear Systems
  • Measurement
  • Optical Detection
  • Peak Values
  • Pencil Beams
  • Scattering
  • Test And Evaluation
  • Transmitters

Fields of Study

  • Physics

Readers

  • Aerosol Science/Aerosol Physics
  • Database Systems and Applications
  • Image Processing and Computer Vision.

Technology Areas

  • Directed Energy