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...

Descripción completa

Detalles Bibliográficos
Autores principales: Chu, Hairong, Sun, Tingting, Zhang, Baiqiang, Zhang, Hongwei, Chen, Yang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5298725/
https://www.ncbi.nlm.nih.gov/pubmed/28098829
http://dx.doi.org/10.3390/s17010152

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5298725/
https://www.ncbi.nlm.nih.gov/pubmed/28098829
http://dx.doi.org/10.3390/s17010152

Ejemplares similares