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Rapid Transfer Alignment of MEMS SINS Based on Adaptive Incremental Kalman Filter
In airborne MEMS SINS transfer alignment, the error of MEMS IMU is highly environment-dependent and the parameters of the system model are also uncertain, which may lead to large error and bad convergence of the Kalman filter. In order to solve this problem, an improved adaptive incremental Kalman f...
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| Publicado no: | Sensors (Basel) |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5298725/ https://ncbi.nlm.nih.gov/pubmed/28098829 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s17010152 |
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