Title :
Practical constrained estimation
Author_Institution :
MIT Lincoln Lab., Lexington, MA, USA
Abstract :
A class of constrained state estimation problems is studied. The state estimate is defined to be the geometric center of the convex set bounded by the nonlinear constraints. A modified Khachian algorithm is used to solve for the state estimate. An example is given of Global Positioning System (GPS) satellite selection and receiver location determination, showing the numerical behavior of the algorithm
Keywords :
radar theory; radio direction-finding; radionavigation; satellite relay systems; state estimation; GPS; Global Positioning System; Khachian algorithm; convex set; radionavigation; receiver location; satellite selection; state estimate; Aerodynamics; Covariance matrix; Global Positioning System; Kalman filters; Laboratories; Orbits; Radar measurements; Satellites; Spaceborne radar; State estimation;
Conference_Titel :
Decision and Control, 1988., Proceedings of the 27th IEEE Conference on
Conference_Location :
Austin, TX
DOI :
10.1109/CDC.1988.194754
