Extending the Synthetic Environment Data Representation and Interchange Specification (SEDRIC) for the Representation of Sensors in the Synthetic Environment

Abstract

The Synthetic Environment Data Representation and Interchange Specification (SEDRIS) attempts to account for the data types and their relationships that are used to describe the synthetic environment in DoD. The goal of SEDRIS is the loss-less and unambiguous transfer of data from one database to another across the full range of M&S applications, including sensors. This research explores the sufficiency of the SEDRIS Data Model in terms of the loss-less, unambiguous transfer of sensor simulation data. The primary output of this research was to extend the capability of the current SEDRIS Data Model to more fully provide for sensor representation based on primitive environmental factors that could be generalized to other domains. This research investigates the current SEDRIS Data Model's capabilities concerning the representation of sensor-related properties, examines a representative sample of popular sensor models, documents the development of a mapping and analysis process, and describes the implementation, demonstration and successful testing of a portion of the proposed extended SEDRIS Data Model.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1999
Accession Number
ADA362366

Entities

People

  • Patrick E. Connors Ii

Tags

Communities of Interest

  • Ground and Sea Platforms
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Computer Programming
  • Computers
  • Databases
  • Infrared Detectors
  • Military Research
  • Optical Phenomena
  • Optics
  • Refraction
  • Refractive Index
  • Specific Heat
  • Standards
  • Test And Evaluation
  • Thermal Conductivity
  • Three Dimensional
  • Warfare
  • X Rays

Fields of Study

  • Computer science

Readers

  • Computer Programming and Software Development.
  • Enterprise Information Systems Architecture and Joint Command Capability Interoperability Support.
  • Regression Analysis.