A Radar Error Model and Kalman Filter for Predicting Target States in an Air-to-Air Environment.

Abstract

Various extended Kalman filters and modified nonlinear filters are examined for target acceleration estimation over a representative trajectory. The filters are of two basic types. The first type uses the radar measurements in the antenna centerline coordinate frame to provide the Kalman filter measurements. The propagation equations for this implementation have position, velocity, and acceleration as the states in a convenient inertial reference frame. In comparison, the second type performs propagation and measurement equations computations entirely in the antenna centerline frame. Each type of filter is tested for any degradation of performance apparent from excluding radar measurements of the error angles between the antenna centerline and line-of-sight reference frame.

Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1974
Accession Number
ADA008671

Entities

People

  • Eric K. Lindberg

Organizations

  • Air Force Institute of Technology

Tags

DTIC Thesaurus Topics

  • Computational Complexity
  • Computations
  • Degradation
  • Environment
  • Equations
  • Filters
  • Kalman Filters
  • Line Of Sight
  • Mathematical Analysis
  • Mathematical Filters
  • Mathematics
  • Measurement
  • Targets
  • Trajectories

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Inertial Navigation Systems.
  • Radar Systems Engineering.