International Workshop "Advanced Technologies in Material Science, Mechanical and Automation Engineering – MIP: Engineering – 2019" | |
Improving the navigation spacecraft radio visibility with signal processing algorithms usage | |
材料科学;机械制造;原子能学 | |
Lomaev, Yu S^1 ; Ivanov, I.A.^1 ; Popov, Eu A^1 | |
Reshetnev Siberian State University of Science and Technology, Office L-311, 31, Krasnoyarsky Rabochy Av., Krasnoyarsk | |
660037, Russia^1 | |
关键词: Antenna directivity; Filtering algorithm; Geometric dilution of precision; Global Navigation Satellite Systems; Low-pass filtering; Processing algorithms; Radiofrequency signals; Signal processing algorithms; | |
Others : https://iopscience.iop.org/article/10.1088/1757-899X/537/2/022048/pdf DOI : 10.1088/1757-899X/537/2/022048 |
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学科分类:材料科学(综合) | |
来源: IOP | |
【 摘 要 】
The article deals with topical issues of spacecraft external design for the global navigation satellite system (GLONASS). The development and analysis of data processing algorithms are considered a part of the external design phase. Data for processing algorithms was obtained from real orbital grouping spacecraft. Mathematical modelling was performed based on real data to analyse navigation signals propagation conditions from GLONASS satellites. Implementation of mathematical modelling approach included such aspects as finding the optimal antenna pattern and filtering radio frequency signals. Theoretically optimal antenna directivity patterns were implemented taking into account available data about satellite orbital parameters. Bessel, Butterworth, Chebyshev and elliptic filters were used as standard filtering methods. Modified low-pass filtering algorithm was considered as an improved filtering algorithm. Application of the modified filtering method allowed to reduce geometric dilution of precision value in the consumer positioning case. Obtained results are applicable to design possible options for improving the existing GLONASS orbital group.
【 预 览 】
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Improving the navigation spacecraft radio visibility with signal processing algorithms usage | 1343KB | download |