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 :
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