Accession Number:

AD0921863

Title:

Reduced-Order Estimators and Their Application to Aircraft Navigation.

Descriptive Note:

Technical rept. Jul 72-Sep 73,

Corporate Author:

ANALYTIC SCIENCES CORP READING MA

Report Date:

1974-08-01

Pagination or Media Count:

77.0

Abstract:

Minimum-variance reduced-order estimators are derived and analyzed. Although the computations required to determine the optimum gains and dynamics for these optimal reduced-order filters and observer-estimators may be too complex to implement in real time, in many cases these parameters can be determined off-line and stored for real-time use. Furthermore, a study of optimal reduced-order estimators provides guidelines for designing simpler reduced-order filters and observer-estimators. Also, the error covariance matrices of the optimal reduced-order estimators provide quantitative criteria for measuring the performance of heuristically designed reduced-order estimators. Two multisensor navigation example problems are formulated and used for comparing the performance of a heuristically designed reduced-order filter to that of the corresponding minimum-variance reduced-order estimators. Author

Subject Categories:

  • Electrical and Electronic Equipment
  • Computer Programming and Software
  • Computer Hardware

Distribution Statement:

APPROVED FOR PUBLIC RELEASE