Throwing Down the Gauntlet: A Discussion of Techniques for Bounding Advanced Tracking Algorithm Performance

Abstract

For many applications of radar and sensor based filtering, simulations can not represent the sole estimate of performance, provide points where threats become engageable, or determine when to use weaponsplatform based sensors effectively in an engagement, etc... No signicant advances have been proposed to analytically characterize performance or at least bound performance of the Kalman filter other than the use of simple two or three state constant gain filters. This paper suggests methods for char- acterizing filter algorithms that can be used to bound the advanced tracking algorithms that are used in a single sensor or muli-sensor environment.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2006
Accession Number
ADA521601

Entities

People

  • A. S. Smith-carroll
  • John E. Gray

Organizations

  • Naval Surface Warfare Center

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Computational Science
  • Control Systems
  • Covariance
  • Data Fusion
  • Detectors
  • Equations
  • Markov Models
  • Models
  • Noise
  • Noise Reduction
  • Probability
  • Probability Distributions
  • Simulations
  • Steady State
  • Surface Warfare
  • Target Tracking

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Systems Analysis and Design