Reduced-Order Estimators and Their Application to Aircraft Navigation.
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)
Document Details
- Document Type
- Technical Report
- Publication Date
- Aug 01, 1974
- Accession Number
- AD0921863
Entities
People
- Joseph A. D'appolito
- Julian L. Center
- Steven I Marcus
Organizations
- TASC, Inc