Data Links Enhanced Relative Navigation for Robotic Formation Applications
| Autor: | Ning Hao, Haodi Yao, Rui Xing, Fenghua He, Yu Yao |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Computer Science::Robotics
Scheme (programming language) 0209 industrial biotechnology Data link 020901 industrial engineering & automation Control and Systems Engineering Computer science 020208 electrical & electronic engineering 0202 electrical engineering electronic engineering information engineering 02 engineering and technology computer Algorithm computer.programming_language |
| Zdroj: | IFAC-PapersOnLine. 53:9484-9489 |
| ISSN: | 2405-8963 |
| Popis: | With the rapid development and widespread application of robotic formation, relative navigation problem has attracted extensive attention. In this paper, the relative navigation problem for robotic formation applications is investigated, for which, we provide a relative navigation method based on multi-sensor fusion. First of all, a data links enhanced relative navigation scheme is proposed. Secondly, the underlying estimation problem behind the relative navigation scheme is derived. Then, a recursive relative navigation algorithm based on maximum a posterior estimation is provided for different multi-sensor combinations. Finally, simulation experiments are performed to show the effectiveness of the proposed relative navigation method. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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