Innovative Conjunction Prediction in Space Situational Awareness (SSA) using Voronoi Diagram with 3D Spheres

Abstract

Collision avoidance is one of the critical tasks to keep geospace safe and efficient. This research studied the detection and resolution of conjunction prediction for collision avoidance to develop and implement an algorithm to based on the dynamic Voronoi diagram (DVD)of 3D spherical balls. A DVD algorithm for spherical balls was successfully developed, implemented, and tested. Then the team developed and implemented Conjunctive Orbital Objects Predictor and Planner (COOP2) algorithm/program based on the DVD algorithm. This demonstrated a proven mathematical capability to detect all conjunctions without any missing cases. The COOP2 was tested against TLE data obtained from Korea Aerospace Research Institute (KARI), which includes the orbital movements of the following five Korean satellites:KOMPSAT-2, KOMPSAT-3, KOMPSAT-3A, and KOMPSAT-5.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jul 11, 2020
Accession Number
AD1109514

Entities

People

  • Deok-soo Kim

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Space

DTIC Thesaurus Topics

  • Additive Manufacturing
  • Artificial Satellites
  • Collision Avoidance
  • Computer Graphics
  • Earth Orbits
  • Free Flight
  • Low Earth Orbits
  • Resident Space Objects
  • Situational Awareness
  • Small Satellites
  • Space Debris
  • Space Objects
  • Space Situational Awareness
  • Space Surveillance
  • Spacecraft Orbits
  • Three Dimensional
  • United States Strategic Command

Readers

  • Naval Mine Countermeasure Systems Development.
  • Neural Network Machine Learning.
  • Tribology (the study of the boundary interaction between sliding surfaces, lubrication, wear and friction).

Technology Areas

  • Space
  • Space - Orbital Debris
  • Space - Space Objects
  • Space - Spacecraft Maneuvers