Factored Sampling Tracking: Comparison of the Kalman and the Condensation Algorithms for Missile Tracking in a Defense Target Environment

Abstract

In this report, we compare the performance of two tracking technologies, the Kalman filter and a factored sampling procedure known as the Condensation Algorithm, to track a missile in a dense countermeasures engagement. During a missile engagement, countermeasures may produce features that are identical to those of the target. Consequently, correct identification of the target missile from decoys can result in confusion, delays, and lost track. Therefore, the two algorithms were compared on the following bases: (1) the accuracy of identification, (2) the time required to identify the target correctly, and (3) sensitivity with respect to missile and decoy masses and process noise.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Dec 31, 2004
Accession Number
ADA430271

Entities

People

  • Ahmad Kamalvand
  • Paul Macdonald
  • Thai-duong Tran

Tags

Communities of Interest

  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Accuracy
  • Aerodynamic Drag
  • Algorithms
  • Ballistic Missiles
  • Condensation
  • Countermeasures
  • Covariance
  • Equations
  • Identification
  • Kalman Filters
  • Measurement
  • Probability
  • Sampling
  • Sensitivity
  • Simulations
  • Standards
  • Test Beds

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Sensor Fusion and Tracking Systems.