Including State Excitation in the Fixed-Interval Smoothing Algorithm and Implementation of the Maneuver Detection Method Using Error Residuals

Abstract

The effects of the state excitation matrix Q underlined sub k in the smoothing routine of an extended Kalman filter is investigated. A new algorithm to derive the Q underlined sub k matrix is also developed. In addition, the accuracy of the filter was substantially improved by implementing a new maneuver detection technique. Several tracking scenarios are simulated and analyzed for noise free and noisy cases and statistical data are obtained for the maneuver detection technique. The program codes are included as appendices.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1990
Accession Number
ADA246336

Entities

People

  • Alaettin Sevim

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Ground and Sea Platforms
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Computational Science
  • Computer Programs
  • Computer Simulations
  • Computers
  • Detectors
  • Filters
  • Filtration
  • Kalman Filtering
  • Kalman Filters
  • Mathematical Analysis
  • Mathematical Filters
  • Numbers
  • Probability
  • Simulations
  • Statistical Data
  • White Noise

Fields of Study

  • Engineering

Readers

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