Comparison of Filtering Options for Ballistic Coefficient Estimation

Abstract

The capabilities of a linear decoupled Kalman filter and two extended Kalman filters were examined when tracking an object as it enters the atmosphere. The filters were given identical radar range and elevation data. The first extended filter estimates the position, velocity, and inverse ballistic coefficient; the second estimates position, velocity and the ballistic coefficient. The linear filter estimates position, velocity and acceleration and derives the ballistic coefficient from those estimates. The paper will show that the performance of the linear filter is inferior to that of the extended filters, while the performances of the extended filters are nearly identical.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1998
Accession Number
ADA355740

Entities

People

  • Paul Zarchan
  • Robert Jesionowski

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Coefficients
  • Covariance
  • Differential Equations
  • Dynamic Pressure
  • Dynamics
  • Equations
  • Equations Of State
  • Filters
  • Filtration
  • Flight
  • Flight Paths
  • Kalman Filters
  • Measurement
  • Noise
  • Radar Tracking
  • Step Functions
  • Trajectories

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Metallurgy