Fixed-Gain, Two-Stage Estimators for Tracking Maneuvering Targets

Abstract

The two-stage Alpha-Beta-Gamma estimator is proposed as an alternative to adaptive gain versions of the Alpha-Beta and Alpha-Beta-Gamma filters for tracking maneuvering targets. This report accomplishes fixed-gain, variable dimension filtering with a two-stage Alpha-Beta-Gamma estimator. The two-stage Alpha-Beta-Gamma estimator is derived from the two-stage Kalman estimator, and the noise variance and reduction matrix and steady-state error covariance matrix are given as a function of the steady-state gains. A procedure for filter parameter selection is also given along with a technique for maneuver response and a gain scheduling technique for initialization. The kinematic constraint for constant speed targets is also incorporated into the two-stage estimator to form the two-stage Alpha-Beta-Gamma-Lambda estimator. Simulation results are given for a comparison of the performances of estimators with that of the Alpha-Beta-Gamma filter.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1992
Accession Number
ADA255832

Entities

People

  • W.D. Blair

Organizations

  • Naval Surface Warfare Center

Tags

Communities of Interest

  • C4I
  • Weapons Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Computations
  • Data Rate
  • Detectors
  • Dynamic Range
  • Engineering
  • Equations
  • Estimators
  • Kalman Filtering
  • Kalman Filters
  • Linear Systems
  • Noise Reduction
  • Scheduling (Production)
  • Simultaneous Equations
  • Target Tracking
  • White Noise

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.