The Path Prediction of Cyclones with Kalman Filters

Abstract

The Kalman filter is used to provide estimates of the position and velocity of a storm based upon observation of the storm's longitude and latitude. Nonstationary noise is shown to degrade the performance of the filter and cause tracking divergence. Time varying values for the noise covariance matricies R and Q, and the addition of an external forcing function to the filter, effectively compensated for this tracking error. Results for the simulations show significant performance advantages of using an external forcing function in the system.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1990
Accession Number
ADA241376

Entities

People

  • Dogan Taskin

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • C4I
  • Ground and Sea Platforms
  • Materials and Manufacturing Processes
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Algorithms
  • Computational Science
  • Computer Simulations
  • Computers
  • Coordinate Systems
  • Equations
  • Estimators
  • Filters
  • Grids
  • Kalman Filters
  • Latitude
  • Longitude
  • Mathematical Filters
  • Mathematical Models
  • Measurement
  • Observation
  • Simulations

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Atmospheric Science/Meteorology