Passive Ranging Using Atmospheric Oxygen Absorption Spectra

Abstract

The depth of absorption bands in observed spectra of distant, bright sources can be used to estimate range to the source. A novel approach is presented and demonstrated using observations of the oxygen absorption band near 762 nm. Range is estimated by comparing observed values of band-average absorption against curves derived from either historical data or model predictions. Curves are based on fitting a random band model to the data, which reduces average range error by 67% compared to the Beer's Law model used in previous work. A new modification to existing band models for long, inhomogeneous paths is presented and shown to reduces error 50% in short-range experiments. A static rocket motor test was observed using a Fourier transform spectrometer at a range of 2.8 km. The range estimated from this data was accurate to within 0.5% (14 m). Similar accuracy was also achieved at shorter ranges using a lamp as a surrogate target. Long-range performance is predicted by using FASCODE and theoretical models to extrapolate observed short-range performance. Range error of 5% or less is predicted at ranges up to 400 km for a representative target.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2006
Accession Number
ADA449502

Entities

People

  • Michael R. Hawks

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Aircrafts
  • Atmospheric Attenuation
  • Detection
  • Detectors
  • Geometry
  • Ideal Gas Law
  • Mathematical Filters
  • Measurement
  • Meteorology
  • Passive Sensors
  • Range Finding
  • Refraction
  • Scattering
  • Spectra
  • Theater Ballistic Missiles
  • Unmanned Aerial Vehicles

Fields of Study

  • Physics

Readers

  • Computational Modeling and Simulation
  • Spectroscopy.