A Random Finite Set Approach to Space Junk Tracking and Identification

Abstract

The report summarizes the feasibility study performed for AFRL/AOARD regarding the use of Random Finite Set (RFS) filtering approach for tracking orbital space debris. Specifically, we investigate the capability of the RFS approach to accommodate: nonlinear motion and measurement models; unknown and time varying target number; and limited sensor field-of-view. This report shows the capability of the random finite set approach to provide large scale multi-target tracking. In particular it is shown that an approximate filter known as the labeled multi-Bernoulli filter can simultaneously track one thousand five hundred targets in clutter on a standard laptop computer.

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Document Details

Document Type
Technical Report
Publication Date
Sep 03, 2014
Accession Number
ADA609470

Entities

People

  • Ba-ngu Vo
  • Ba-tuong Vo

Organizations

  • Curtin University

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Algorithms
  • Computers
  • Data Association
  • Detection
  • Filters
  • Laptop Computers
  • Measurement
  • Multiple Targets
  • Multitarget Tracking
  • Probability
  • Probability Hypothesis Density Filters
  • Random Variables
  • Situational Awareness
  • Space Debris
  • Space Situational Awareness
  • Standards
  • Target Tracking

Fields of Study

  • Engineering

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