Automatic Tracking of Wake Vortices Using Ground-Wind Sensor Data.

Abstract

Algorithms for automatic tracking of wake vortices using ground-wind anemometer data are developed. Methods of bad-data suppression, track initiation, and track termination are included. An effective sensor-failure detection-and-identification system is also documented. System performance is verified using actual sensor data. Computer requirements for implementing the system in the field are summarized, and a plan for developing a general-purpose vortex-tracking simulation is presented.

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Document Details

Document Type
Technical Report
Publication Date
Jan 03, 1977
Accession Number
ADA047895

Entities

People

  • John J. Deyst Jr.
  • Saul Serben

Organizations

  • Charles Stark Draper Laboratory

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Aircraft Detection
  • Aircrafts
  • Cargo Aircraft
  • Computational Science
  • Computer Programs
  • Computers
  • Damage Detection
  • Detection
  • Detectors
  • Differential Equations
  • Failure Mode And Effect Analysis
  • Identification Systems
  • Pattern Recognition
  • Transport Aircraft
  • Two Dimensional
  • Warning Systems
  • Wind Velocity

Readers

  • Computer Science.
  • Fluid Mechanics and Fluid Dynamics.
  • Sensor Fusion and Tracking Systems.