Arrayed space optical communications: localization of the ground station
File(s)1570321023_ICC_17_Localization_Ground_Station.pdf (544.56 KB)
Accepted version
Author(s)
Fang, Z
Manikas, A
Type
Conference Paper
Abstract
In this paper, a novel ground station localization
algorithm is proposed for space optical communications using ar-
ray processing and a set of celestial objects of known locations in
the global coordinate system. First, the ground station estimates
the directions of this set of celestial objects relative to its local
coordinate system using the sunlight reflected by these celestial
objects. Then, the ranges of the celestial objects and the location
and orientation of the ground station are estimated by solving
systems of nonlinear and linear equations. The performance of
the proposed approach is assessed through computer simulation
studies. It is shown to estimate the location and orientation of
the ground station successfully with excellent accuracy.
algorithm is proposed for space optical communications using ar-
ray processing and a set of celestial objects of known locations in
the global coordinate system. First, the ground station estimates
the directions of this set of celestial objects relative to its local
coordinate system using the sunlight reflected by these celestial
objects. Then, the ranges of the celestial objects and the location
and orientation of the ground station are estimated by solving
systems of nonlinear and linear equations. The performance of
the proposed approach is assessed through computer simulation
studies. It is shown to estimate the location and orientation of
the ground station successfully with excellent accuracy.
Date Acceptance
2017-01-27
ISBN
978-1-4673-8999-0
Publisher
IEEE
Copyright Statement
© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Source
IEEE International Conference on Communications (ICC)
Publication Status
Published
Start Date
2017-05-21
Finish Date
2017-05-25
Coverage Spatial
Paris, France