A Comprehensive Model for Performance Prediction of Electro-Optical Systems

Abstract

The long-term goals of this effort are to provide reliable performance prediction and accurate system simulation capabilities for underwater electro-optical identification (EOID) systems. The Electro- Optical Detection Simulator (EODES) suite of numerical models developed under this program will predict the impact of environmental conditions, system parameters (e.g., apertures and PMT gains), and operational settings (e.g., platform speed and altitude) on system performance. The models are designed to support mine countermeasures (MCM) mission planning, system design analysis, and operator training. It is anticipated that the performance prediction models will also be integrated into Tactical Decision Aids (TDAs), specifically the Mine Warfare Environmental Decision Aid Library (MEDAL) and/or the Environmental Post Mission Analysis (EPMA) station. The two most prominent sensor technologies in this area are Laser Line Scan (LLS) and Streak Tube Imaging Lidar (STIL). Examples of systems using these technologies are the AN/AQS-24 (using LLS) and a variant of the AN/AQS-20 (using STIL) mine-hunting systems. High-fidelity models for these systems have already been incorporated into the EODES software. The EODES LLS model is currently undergoing quality assurance verification preliminary to its inclusion as a Navy Standard model in the Oceanographic and Atmospheric Master Library (OAML). The STIL model will be submitted to OAML upon further validation. The Airborne Laser Mine Detection System (ALMDS) also uses a STIL sensor to image underwater objects from an airborne platform. An ALMDS model will also be fully integrated into EODES after further development and validation. Our objectives are to develop and validate EOID models to compute reliable metrics for the prediction of system/operator performance, and for generating synthetic images of bottom scenes under given environmental conditions and operational settings.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2008
Accession Number
ADA517110

Entities

People

  • Joseph J. Shirron
  • Thomas E. Giddings

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Altitude
  • Backscattering
  • Detection
  • Detectors
  • Equations
  • Experimental Data
  • Identification
  • Lasers
  • Light Sources
  • Radiative Transfer
  • Reliability
  • Scattering
  • Simulations
  • Standards
  • Tactical Decision Aids
  • Target Recognition
  • Validation

Readers

  • Naval Mine Countermeasure Systems Development.
  • Sensor Fusion and Tracking Systems.

Technology Areas

  • Directed Energy