Space Object Attitude and Position Determination Based on Astrometry and Photometric Data Fusion
| Autor: | Tongxin Dang, Huafeng Peng, Jidong Qin |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
020301 aerospace & aeronautics
business.industry Computer science Astrophysics::Instrumentation and Methods for Astrophysics 02 engineering and technology Astrometry Sensor fusion Object (computer science) Light curve Space (mathematics) 01 natural sciences 010305 fluids & plasmas Photometry (optics) 0203 mechanical engineering Radiation pressure Position (vector) 0103 physical sciences General Earth and Planetary Sciences Computer vision Artificial intelligence Space object business General Environmental Science |
| Zdroj: | Procedia Computer Science. 131:327-335 |
| ISSN: | 1877-0509 |
| DOI: | 10.1016/j.procs.2018.04.171 |
| Popis: | The astronomical observation model, light curve model and solar radiation pressure force model are established to allow estimation of the positions and attitudes of space objects using a fusion of photometric and astronomical data. Existing algorithms for this purpose involve large errors. The proposed method firstly estimates the attitude of the object by using photometric and astronomical data fusion. Secondly, the position of the object is filtered by the estimated attitude. Theory and numerical simulations show the efficiency of the proposed method. |
| Databáze: | OpenAIRE |
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