The Application of Extended Kalman Filtering to the Position Locating Reporting System (PLRS).

Abstract

Extended Kalman filtering is applied to the PLRS (Position Locating Reporting System). Here the nonlinearity to the filter enters through the measurement (range only). The nonlinearity being the relationship between range and the cartesian coordinate states of the filter. Filter covariances of error are portrayed as error ellipsoids. These are used to determine which one should be used to update a unit when there are several other units available for ranging. One should attempt to make the range measurement in the same direction as the major axis of error associated with the unit to be updated. The filtering techniques are evaluated using static units and high speed maneuvering aircraft. (Author)

Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1975
Accession Number
ADA021855

Entities

People

  • Charles A. Dittmar Jr

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Aircrafts
  • Cartesian Coordinates
  • Covariance
  • Data Science
  • Ellipsoids
  • Filters
  • Filtration
  • Information Science
  • Kalman Filtering
  • Measurement

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Geodesy