Infrared Non-Linear Lens.

Abstract

A dynamic target acquisition analytic model for a Variable Acuity Remote Viewing System (VARVS) was developed and experimentally verified. The model was then used to compute target acquistion capability of an infrared version of the VARVS and conventional linear FLIR's with various fields of view. Results indicated that the VARVS, as presently configured, has a target acquisition effectiveness of about 80% of the best linear sensor. The study indicated VARVS performance could be improved by broadening the high acuity central portion of the distortion function or by reducing slew time. However, it never exceeds the performance of the linear sensor with the proper field of view. While it can be concluded that the VARVS concept offers no improvement over conventional linear sensor, the limitations of the theory and experiment must be recognized. They represent acquisition of a fixed target from a stable platform. If the vehicle is maneuvering or if cues such as motion or glints exist, the wide field of the VARVS may play an important role in supporting the cognitive factors that are little understood in target acquisition. Secondary objectives were to determine the feasibility of a common aperture narrow field high resolution capability for the sensor. The design effort could not achieve the required performance over the 2 degree narrow field of view. However, no technical constraints could be identified which make such a design not feasible. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1978
Accession Number
ADA068594

Entities

People

  • Ralph W. Fisher
  • Richard A. Kupferer
  • Roger D. Helmick

Organizations

  • McDonnell Aircraft Corporation

Tags

Communities of Interest

  • Air Platforms
  • Materials and Manufacturing Processes
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Acquisition
  • Depression Angles
  • Detection
  • Detectors
  • Diffraction
  • Digital Computers
  • Distortion
  • Focal Planes
  • Geometry
  • High Resolution
  • Pattern Recognition
  • Probability Density Functions
  • Recognition
  • Spectra
  • Target Acquisition
  • Target Detection
  • Target Recognition

Readers

  • Control Systems Engineering.
  • Radar Systems Engineering.
  • Sensor Fusion and Tracking Systems.