Kalman Plus Weights: A Time Scale Algorithm

Abstract

KPW is a time scale algorithm that combines Kalman filtering with the basic time scale equation (BTSE). A single Kalman filter that estimates all clocks simultaneously is used to generate the BTSE frequency estimates, while the BTSE weights are inversely proportional to the white FM variances of the clocks. Results from simulated clock ensembles are compared to previous simulation results from other algorithms.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2001
Accession Number
ADA485682

Entities

People

  • Charles A. Greenhall

Organizations

  • California Institute of Technology

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Anomaly Detection
  • Change Detection
  • Clocks
  • Covariance
  • Difference Equations
  • Differential Equations
  • Equations
  • Filters
  • Frequency
  • Jet Propulsion
  • Kalman Filtering
  • Kalman Filters
  • Mathematical Filters
  • Measurement
  • Numbers
  • Random Walk

Readers

  • Approximation Theory.
  • Energy Conservation and Renewable Energy Engineering.
  • Positioning, Navigation, and Timing (PNT) Technology.