Constrained estimation for autonomous navigation using unknown landmarks

Chinese Automation Congress(2013)

Cited 1|Views16
No score
Abstract
This paper presents a new method for autonomous navigation using unknown landmarks on the surface of an ellipsoidal planet, and geometry constraints of landmarks' position that satisfy an ellipsoid equation are considered. Both of and unconstrained and constrained estimation are developed. An implicit bias method by augmenting the current state with a delay state to eliminate unknown landmarks positions in the measurement equation is used to form an unconstrained estimation of spacecraft's state. Once the unconstrained estimation is derived, geometry constraints of landmarks' position are transformed to constraints of spacecraft's state. The unconstrained estimation is then projected onto the constrained space to form a constrained estimation. Numerical simulations are also provided to assess the performance of the proposed new method.
More
Translated text
Key words
kalman filters,aircraft navigation,estimation theory,numerical analysis,autonomous navigation,delay state,ellipsoid equation,ellipsoidal planet,geometry constraints,implicit bias method,landmark position,measurement equation,numerical simulation,spacecraft state,unconstrained estimation,unknown landmarks
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined