On-board DA-based state estimation algorithm for spacecraft relative navigation
On-board DA-based state estimation algorithm for spacecraft relative navigation
This paper analyzes the real-time relative pose estimation and attitude prediction of a tumbling target spacecraft through a high-order numerical extended Kalman filter based on differential algebra. In particular, linear and nonlinear algorithms are developed and implemented on a BeagleBone Black platform, as representative of the limited computational capability available on onboard processors. The performance are assessed varying measurement acquisition frequency and processor clock frequency, and considering various levels of uncertainties. Moreover, a comparison among the different orders of the filter is carried out.
Cavenago, Francesco
7555ca1e-a11f-4b43-9a3c-7d90116d4be2
Di Lizia, Pierluigi
8a0d7c21-8869-498e-95c8-41a8c8a6dd1a
Massari, Mauro
6b6f72d2-7e3a-4394-87c3-9fb0e51b75ec
Wittig, Alexander
3a140128-b118-4b8c-9856-a0d4f390b201
2017
Cavenago, Francesco
7555ca1e-a11f-4b43-9a3c-7d90116d4be2
Di Lizia, Pierluigi
8a0d7c21-8869-498e-95c8-41a8c8a6dd1a
Massari, Mauro
6b6f72d2-7e3a-4394-87c3-9fb0e51b75ec
Wittig, Alexander
3a140128-b118-4b8c-9856-a0d4f390b201
Cavenago, Francesco, Di Lizia, Pierluigi, Massari, Mauro and Wittig, Alexander
(2017)
On-board DA-based state estimation algorithm for spacecraft relative navigation.
In 7th European conference for aeronautics and space sciences (EUCASS).
EUCASS.
14 pp
.
(doi:10.13009/EUCASS2017-607).
Record type:
Conference or Workshop Item
(Paper)
Abstract
This paper analyzes the real-time relative pose estimation and attitude prediction of a tumbling target spacecraft through a high-order numerical extended Kalman filter based on differential algebra. In particular, linear and nonlinear algorithms are developed and implemented on a BeagleBone Black platform, as representative of the limited computational capability available on onboard processors. The performance are assessed varying measurement acquisition frequency and processor clock frequency, and considering various levels of uncertainties. Moreover, a comparison among the different orders of the filter is carried out.
This record has no associated files available for download.
More information
Published date: 2017
Identifiers
Local EPrints ID: 419660
URI: http://eprints.soton.ac.uk/id/eprint/419660
PURE UUID: 2c62add9-a568-4deb-a981-67013c00bc3a
Catalogue record
Date deposited: 19 Apr 2018 16:30
Last modified: 16 Mar 2024 04:30
Export record
Altmetrics
Contributors
Author:
Francesco Cavenago
Author:
Pierluigi Di Lizia
Author:
Mauro Massari
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics
