Application of Adaptive Filtering to an Attitude Determination Problem.

Abstract

A gyro is mounted on a satellite to measure body angular rates between star sightings. A Kalman Filter is used to update the estimate of attitude which is degraded between star sightings because of random gyro drift. The estimated autocorrelation of the measurement residuals are employed to do the following: (1) Detect changes in the noise parameters of either the gyro or the star sensor, (2) Estimate the true estimate covariance, and (3) Estimate the optimal Kalman gain or adapt the filter to the new noise parameters. Numerical examples are included. It is important to emphasize the following: (1) The filter performance can be estimated by observing only the measurement residuals, and (2) The filter parameters can be adapted to improve the performance, if desired. (Author)

Document Details

Document Type
Technical Report
Publication Date
Oct 12, 1970
Accession Number
AD0751285

Entities

People

  • Philip L. Smith

Organizations

  • The Aerospace Corporation

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Artificial Satellites
  • Autocorrelation
  • Covariance
  • Data Science
  • Filters
  • Filtration
  • Information Science
  • Kalman Filters
  • Mathematical Analysis
  • Mathematical Filters
  • Mathematics
  • Measurement
  • Residuals
  • Statistical Algorithms
  • Statistical Analysis

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Control Systems Engineering.
  • Space Exploration and Orbital Mechanics.

Technology Areas

  • Space
  • Space - Space Objects