Iterative spherical simplex unscented particle filter for CNS/Redshift integrated navigation system
| Autor: | Xiajing Li, Wei He, Zhong-Liang Tang, Guangqiong Zhao, Kui Fu |
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| Rok vydání: | 2017 |
| Předmět: |
0209 industrial biotechnology
Simplex Celestial navigation General Computer Science Computer science Computation Navigation system 020207 software engineering 02 engineering and technology Redshift Computer Science::Robotics 020901 industrial engineering & automation Transformation (function) Control theory Iterated function 0202 electrical engineering electronic engineering information engineering Numerical stability |
| Zdroj: | Science China Information Sciences. 60 |
| ISSN: | 1869-1919 1674-733X |
| DOI: | 10.1007/s11432-015-0189-9 |
| Popis: | We propose an improved Unscented Particle Filter (UPF) algorithm for the Celestial Navigation System/Redshift (CNS/Redshift) integrated navigation system. The algorithm adopts the iterated spherical simplex unscented transformation rather than the traditional unscented transformation. The navigation per- formance of the proposed algorithm is assessed by several indexes. Simulation results show that the proposed UPF algorithm has advantages over the traditional UPF algorithm in terms of computation burden, navigation accuracy, and numerical stability. |
| Databáze: | OpenAIRE |
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