Special Perturbations Uncorrelated Track Processing

Abstract

Two historical uncorrelated track (UCT) processing approaches have been employed using general perturbations (GP) orbit determination theory. The Cuthbert-Morris algorithm clusters UCTs based on plane, drift rate of the right ascension of the ascending node, and period matching. A pattern recognition tool developed by Lockheed Martin finds patterns in the trends of GP UCT element set parameters over time. A new special perturbations (SP) hierarchical agglomerative clustering algorithm and SP track-oriented multiple hypothesis tracking (MHT) algorithm are considered for SP UCT processing. Both SP UCT processing algorithms show improved performance over the GP UCT processing algorithms for a stressing test case.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2005
Accession Number
AD1107448

Entities

People

  • James G. Miller

Organizations

  • MITRE Corporation

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Satellites
  • Classification
  • Clustering
  • Covariance
  • Data Set
  • Digital Data
  • Hierarchies
  • Information Science
  • Learning
  • Mathematics
  • Multiple Hypothesis Tracking
  • Multitarget Tracking
  • New York
  • Numbers
  • Pattern Recognition
  • Perturbations
  • Real Numbers
  • Recognition
  • Signal Processing
  • Supervised Machine Learning
  • Target Tracking

Readers

  • Sensor Fusion and Tracking Systems.
  • Space Exploration and Orbital Mechanics.
  • Speech Processing/Speech Recognition.

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms
  • Space
  • Space - Orbital Debris
  • Space - Space Objects