Analysis and improvement of star identification algorithm based on singular value decomposition for star sensor
One of the attitude sensors for the spacecraft is the star sensor. The attitude calculation by the star sensor includes several steps: image processing, star identification, database search, and implementation of the attitude determination algorithm. This paper presents analysis and improvements on...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | fas |
| Published: |
Aerospace Research Institute
2023-12-01
|
| Series: | فصلنامه علوم و فناوری فضایی |
| Subjects: | |
| Online Access: | https://jsst.ias.ir/article_176884_0a5f7b1093f0b07bc2b10e7f2a265f6a.pdf |
| _version_ | 1797629674146234368 |
|---|---|
| author | Mona Zahednamazi Alireza toloui |
| author_facet | Mona Zahednamazi Alireza toloui |
| author_sort | Mona Zahednamazi |
| collection | DOAJ |
| description | One of the attitude sensors for the spacecraft is the star sensor. The attitude calculation by the star sensor includes several steps: image processing, star identification, database search, and implementation of the attitude determination algorithm. This paper presents analysis and improvements on the star identification algorithm based on singular value decomposition. To improve the identification results, modifications have been made to the algorithm. Also, analysis and simulation are presented to investigate the effect of field of view dimensions and the number of stars used on the identification results, and the rate of duplicate sets in the database. In addition, identification has been considered a two-step process based on singular values and vectors. The results show the superiority of the improved algorithm in increasing the identification rate and reducing the rate of duplicate sets in the database. The identification rate of the improved algorithm in 〖10〗^°×〖10〗^° and 〖12〗^°×〖12〗^° fields of view dimension is always more the %97. The simulations were performed based on the Hipparcos star catalog for stars brighter than magnitude 6.5 and using MATLAB software. |
| first_indexed | 2024-03-11T10:56:24Z |
| format | Article |
| id | doaj.art-9cd9827bcc9b4d6e81044e1751006cd1 |
| institution | Directory Open Access Journal |
| issn | 2008-4560 2423-4516 |
| language | fas |
| last_indexed | 2024-03-11T10:56:24Z |
| publishDate | 2023-12-01 |
| publisher | Aerospace Research Institute |
| record_format | Article |
| series | فصلنامه علوم و فناوری فضایی |
| spelling | doaj.art-9cd9827bcc9b4d6e81044e1751006cd12023-11-13T07:12:16ZfasAerospace Research Instituteفصلنامه علوم و فناوری فضایی2008-45602423-45162023-12-01164577010.30699/jsst.2023.1445176884Analysis and improvement of star identification algorithm based on singular value decomposition for star sensorMona Zahednamazi0Alireza toloui1PhD, Faculty of New Technologies and Aerospace Engineering, Shahid Beheshti University, Tehran, IranAssociate Professor, Faculty of New Technologies and Aerospace Engineering, Shahid Beheshti University, Tehran, IranOne of the attitude sensors for the spacecraft is the star sensor. The attitude calculation by the star sensor includes several steps: image processing, star identification, database search, and implementation of the attitude determination algorithm. This paper presents analysis and improvements on the star identification algorithm based on singular value decomposition. To improve the identification results, modifications have been made to the algorithm. Also, analysis and simulation are presented to investigate the effect of field of view dimensions and the number of stars used on the identification results, and the rate of duplicate sets in the database. In addition, identification has been considered a two-step process based on singular values and vectors. The results show the superiority of the improved algorithm in increasing the identification rate and reducing the rate of duplicate sets in the database. The identification rate of the improved algorithm in 〖10〗^°×〖10〗^° and 〖12〗^°×〖12〗^° fields of view dimension is always more the %97. The simulations were performed based on the Hipparcos star catalog for stars brighter than magnitude 6.5 and using MATLAB software.https://jsst.ias.ir/article_176884_0a5f7b1093f0b07bc2b10e7f2a265f6a.pdfstar sensorstar identificationsingular value decompositionlost-in-space identification algorithm |
| spellingShingle | Mona Zahednamazi Alireza toloui Analysis and improvement of star identification algorithm based on singular value decomposition for star sensor فصلنامه علوم و فناوری فضایی star sensor star identification singular value decomposition lost-in-space identification algorithm |
| title | Analysis and improvement of star identification algorithm based on singular value decomposition for star sensor |
| title_full | Analysis and improvement of star identification algorithm based on singular value decomposition for star sensor |
| title_fullStr | Analysis and improvement of star identification algorithm based on singular value decomposition for star sensor |
| title_full_unstemmed | Analysis and improvement of star identification algorithm based on singular value decomposition for star sensor |
| title_short | Analysis and improvement of star identification algorithm based on singular value decomposition for star sensor |
| title_sort | analysis and improvement of star identification algorithm based on singular value decomposition for star sensor |
| topic | star sensor star identification singular value decomposition lost-in-space identification algorithm |
| url | https://jsst.ias.ir/article_176884_0a5f7b1093f0b07bc2b10e7f2a265f6a.pdf |
| work_keys_str_mv | AT monazahednamazi analysisandimprovementofstaridentificationalgorithmbasedonsingularvaluedecompositionforstarsensor AT alirezatoloui analysisandimprovementofstaridentificationalgorithmbasedonsingularvaluedecompositionforstarsensor |