Starbrook Express: Dynamic Calibration of Sensor Measurements for Near Real-time Space Object Tracking and Characterization

Abstract

Results of this research demonstrate an automated near-real-time assessment of measurement biases with an unscented Schmidt Kalman filter. This method has been assessed and quantified by both simulated and measured data. This method will enable the exploitation of so-called 'non-traditional' sensor data to maximize space situational awareness and improve orbital safety.

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Document Details

Document Type
Technical Report
Publication Date
Apr 16, 2019
Accession Number
AD1096317

Entities

People

  • John Paffett

Organizations

  • University of Texas at Austin

Tags

Communities of Interest

  • Sensors
  • Space

DTIC Thesaurus Topics

  • Accuracy
  • Air Force
  • Algorithms
  • Artificial Satellites
  • Data Processing
  • Department Of Defense
  • Detection
  • Detectors
  • Earth Orbits
  • Electro-Optical Sensors
  • Geosynchronous Satellites
  • Global Navigation Satellite Systems
  • Global Positioning Systems
  • Kalman Filters
  • Measurement
  • Navigation
  • Optical Detectors
  • Orbits
  • Radiation Pressure
  • Satellite Orbits
  • Solar Radiation
  • Space Objects
  • Space Situational Awareness
  • Space Surveillance

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Sensor Fusion and Tracking Systems.
  • Space Exploration and Orbital Mechanics.

Technology Areas

  • Space
  • Space - Space Objects