DocumentCode
1614635
Title
Constrained estimation for autonomous navigation using unknown landmarks
Author
Maodeng Li ; Dayi Wang ; Xiangyu Huang ; Ji Li
Author_Institution
Nat. Lab. of Space Intell. Control, Beijing Inst. of Control Eng., Beijing, China
fYear
2013
Firstpage
631
Lastpage
636
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.
Keywords
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; Equations; Estimation; Mathematical model; Navigation; Planets; Space vehicles; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Chinese Automation Congress (CAC), 2013
Conference_Location
Changsha
Print_ISBN
978-1-4799-0332-0
Type
conf
DOI
10.1109/CAC.2013.6775812
Filename
6775812
Link To Document