Computer Modeling of Jamming Effects on Roll Stabilized Missiles

Abstract

Development of countermeasures against infrared missiles is enhanced by an ability to quantify the effects of the countermeasure. Analysts must be capable of accurately determining the attitude of the missile throughout its flight. This thesis describes the use of micro-miniature technologies to measure the rates experienced by a missile and the model required to effectively determine the missile's attitude. The Applied Technology Associates ARS-04E and the Tokin America CG-16D sensors were evaluated for use as rate sensors and the Honeywell, SSEC, HMC 1002 was evaluated for use as a roll sensor. Of these sensors, the CG-1 6D proved its ability to perform in this application. The ARS-04E was ineffective in this application. A Simulink model is presented that performs the tasks of demodulating the sensors, performing coordinate transformation, and providing animation of the missile attitude for analysis. The model was evaluated for its ability to accurately determine the attitude of the missile based on input from the IMU packages. Sensor data was obtained from testing performed on a CARCO table flight motion simulator, and compared to the ground truth data provided by the CARCO table. Through testing, the model was capable of providing solutions within the 2 degrees RMS requirement.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2000
Accession Number
ADA383426

Entities

People

  • Craig A. Hill

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Aerospace Industry
  • Aircrafts
  • Cameras
  • Computers
  • Coordinate Systems
  • Detectors
  • Euler Angles
  • Global Positioning Systems
  • High Speed Photography
  • Inertial Measurement Units
  • Magnetic Detectors
  • Magnetic Fields
  • Photography
  • Simulations
  • Simulators
  • Test And Evaluation
  • Voltage Controlled Oscillators

Readers

  • Computational Modeling and Simulation
  • Computer Vision.
  • Inertial Navigation Systems.