An Approach to Large Scale Radar-Based Modeling and Simulation

Abstract

This research presents a method of aggregating, or reducing the resolution, of a commonly available DoD simulation. It addresses the differences between varying levels of resolution and scope used in the Department of Defense's hierarchy of models pyramid. A data representation that aggregates engagement-level simulation data to use at a lower resolution level, the mission-level, is presented and analyzed. Two formats of implementing this data representation are developed and compared: the rigid cylinder format and the expanding tables format. The rigid cylinder format provides an intuitive way to visualize the data representation and is used to develop the theory. The expanding tables format expands upon the capabilities of the rigid cylinder format and reduces the simulation time. Tests are run to show the effects of each format for various combinations of engagement-level simulation inputs. A final set of tests highlight the loss in accuracy incurred from reducing the number of samples used by the mission-level simulation. These tests culminate the work by deriving a notional scenario, applying the data cylinder representation, and exploring the realistic problem of comparing accuracy and compuational constraints.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2010
Accession Number
ADA518515

Entities

People

  • Lester C. Long Iv

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Ground and Sea Platforms
  • Sensors

DTIC Thesaurus Topics

  • Accuracy
  • Air Force
  • Aircrafts
  • Computer Programming
  • Computer Programs
  • Computers
  • Department Of Defense
  • Detection
  • Detectors
  • Finite Element Analysis
  • Graphical User Interface
  • Radar
  • Radar Equipment
  • Reliability
  • Software Development
  • Three Dimensional
  • Warning Systems

Readers

  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Distributed Systems and Data Platform Development
  • Structural Dynamics.