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
Personal Author(s) : Center, Julian L. ; D'Appolito, Joseph A. ; Marcus, Steven I.
Report Date : AUG 1974
Pagination or Media Count : 77
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)
Descriptors : *HEURISTIC METHODS), (*NAVIGATION COMPUTERS, ACCURACY), (*INERTIAL NAVIGATION, (*KALMAN FILTERING, MEMORY DEVICES), APPROXIMATION(MATHEMATICS), ESTIMATES, GAIN, DYNAMICS, DIGITAL COMPUTERS, REAL TIME, COMPUTER PROGRAMS, ALGORITHMS, HYBRID SYSTEMS, DIGITAL SYSTEMS, ERRORS, OPTIMIZATION, ACCELEROMETERS, WHITE NOISE, VELOCITY, ATTITUDE INDICATORS, LINEAR SYSTEMS, AIRBORNE, AIRCRAFT.
Subject Categories : Electrical and Electronic Equipment
Computer Programming and Software
Distribution Statement : APPROVED FOR PUBLIC RELEASE