1. Identity statement | |
Reference Type | Journal Article |
Site | mtc-m21d.sid.inpe.br |
Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identifier | 8JMKD3MGP3W34T/46L485H |
Repository | sid.inpe.br/mtc-m21d/2022/04.04.14.13 (restricted access) |
Last Update | 2022:04.04.14.13.40 (UTC) simone |
Metadata Repository | sid.inpe.br/mtc-m21d/2022/04.04.14.13.40 |
Metadata Last Update | 2023:01.03.16.46.03 (UTC) administrator |
DOI | 10.1016/j.actaastro.2021.07.049 |
ISSN | 0094-5765 |
Citation Key | SilvaGaSaKuZaPa:2022:RaPaFi |
Title | Rao-Blackwellized Particle Filter for the CBERS-4 attitude and gyros bias estimation |
Year | 2022 |
Month | Apr. |
Access Date | 2024, May 13 |
Type of Work | journal article |
Secondary Type | PRE PI |
Number of Files | 1 |
Size | 4222 KiB |
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2. Context | |
Author | 1 Silva, William R. 2 Garcia, Roberta V. 3 Santilli, G. 4 Kuga, Hélio Koiti 5 Zanardi, M. Cecília F. P. S. 6 Pardal, Paula C. P. M. |
Resume Identifier | 1 2 3 4 8JMKD3MGP5W/3C9JHC9 |
Group | 1 2 3 4 DIMEC-CGCE-INPE-MCTI-GOV-BR |
Affiliation | 1 Universidade de Brasília (UnB) 2 Universidade de São Paulo (USP) 3 Universidade de Brasília (UnB) 4 Instituto Nacional de Pesquisas Espaciais (INPE) 5 Universidade Estadual Paulista (UNESP) 6 Universidade de São Paulo (USP) |
Author e-Mail Address | 1 reis.william@unb.br 2 robertagarcia@usp.br 3 santilli@aerospace.unb.br 4 helio.kuga@inpe.br 5 cecilia@feg.unesp.br 6 paulapardal@usp.br |
Journal | Acta Astronautica |
Volume | 193 |
Number | 679-690 |
Secondary Mark | A2_INTERDISCIPLINAR B1_GEOCIÊNCIAS B1_ENGENHARIAS_IV B1_ENGENHARIAS_III B2_CIÊNCIA_DA_COMPUTAÇÃO C_ENGENHARIAS_II C_ASTRONOMIA_/_FÍSICA |
History (UTC) | 2022-04-04 14:13:40 :: simone -> administrator :: 2022-04-04 14:13:41 :: administrator -> simone :: 2022 2022-04-04 14:14:35 :: simone -> administrator :: 2022 2022-07-08 16:51:14 :: administrator -> simone :: 2022 2022-12-19 19:21:08 :: simone -> administrator :: 2022 2023-01-03 16:46:03 :: administrator -> simone :: 2022 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Content Type | External Contribution |
Version Type | publisher |
Keywords | Artificial satellites Attitude estimation CBERS-4 Gyros bias Rao-Blackwellized Particle Filter Unscented Kalman Filter |
Abstract | The Rao-Blackwellized Particle Filter (RaoBPF) and the Unscented Kalman Filter (UKF) were applied in this work to attitude and gyros bias estimation using simulated orbit and attitude measurement data for CBERS-4 (China Brazil Earth Resources Satellite 4) recently in operation. CBERS-4 was launched in 2014, controlled and operated in shifts by China (Xi'an Control Center) and Brazil (Satellite Control Center). Its orbit is heliosynchronous with an inclination of 98.504 degrees, a semi-major axis of 7148.865 km, eccentricity 1.1×10−3, crossing equador line at 10h30min in a descending direction with perigee frozen at 90 degrees, which establishes a commitment relationship between a satisfactory amount of solar irradiance, contrast between targets, and the presence of clouds. This configuration provides global coverage every 26 days. The real orbit and attitude measurements were provided by the Satellite Control Center of the National Institute for Space Research (CCS - INPE) from September 1st, 2015. The dynamic attitude model is described by quaternions. The available attitude sensors are two Digital Sun Sensors (DSS), two Infrared Earth Sensor (IRES) and a triad of mechanical gyroscopes. The two IRES give direct measurements of roll and pitch angles with a certain level of error. The two DSS are nonlinear functions of roll, pitch, and yaw attitude angles. The gyros furnish the angular measurements in the body frame reference system. Gyros provide direct incremental angles or angular velocities; however, they present several sources of error, and the drift is the most troublesome. Such drifts yield along time an accumulation of errors which must be accounted in the attitude determination process. The RaoBPF estimation method used to attitude and gyros bias estimation is a technique that exploits the state space structure in order to reduce the number of particles, decreasing the processing time, avoiding the computational effort common to the standard particle filter. The logical extension of the RaoBPF provides a more general model that can be divided into purely non-linear and conditionally linear-Gaussian aspects, which explores this structure, marginalizing the conditional linear parts and estimating them using exact filters, such as the Extended Kalman Filter (EKF). The results show that it is possible to achieve precision in determining attitudes within the prescribed requirements using the RaoBPF, with lower computational cost when compared to the standard particle filter and its branches, in addition to have competitive results such as the UKF. |
Area | ETES |
Arrangement | Rao-Blackwellized Particle Filter... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | |
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4. Conditions of access and use | |
Language | en |
Target File | Silva_2022_rao.pdf |
User Group | simone |
Reader Group | administrator simone |
Visibility | shown |
Archiving Policy | denypublisher denyfinaldraft24 |
Read Permission | deny from all and allow from 150.163 |
Update Permission | not transferred |
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5. Allied materials | |
Next Higher Units | 8JMKD3MGPCW/46KTFK8 |
Citing Item List | sid.inpe.br/bibdigital/2022/04.03.17.52 2 sid.inpe.br/mtc-m21/2012/07.13.14.49.46 2 |
Dissemination | WEBSCI; PORTALCAPES; COMPENDEX. |
Host Collection | urlib.net/www/2021/06.04.03.40 |
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6. Notes | |
Empty Fields | alternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark mirrorrepository nextedition notes orcid pages parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url |
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7. Description control | |
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