Analysis of Track Fusion Using the Reduced State Estimator

Abstract

We evaluate the performance of track fusion of two-state tracks based on individual track estimates. The individual track estimates are evaluated using a Reduced State Estimator that provides a separate estimate of the filtered random error and the bias resulting from target acceleration. By separating the bias and random portions of the errors, the filters and fusion process can be optimized to minimize cost functions specific to each application.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2011
Accession Number
ADA565244

Entities

People

  • George J. Foster

Organizations

  • Naval Surface Warfare Center

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Traffic Control Systems
  • Algorithms
  • Control Systems
  • Covariance
  • Equations
  • Estimators
  • Filters
  • Kalman Filters
  • Measurement
  • Military Research
  • Noise
  • Simulations
  • Statistical Algorithms
  • Surface Warfare
  • Target Tracking
  • Weapon Control
  • Weapons

Readers

  • Approximation Theory.
  • Information Retrieval
  • Mathematical Modeling and Probability Theory.