Rapid Transfer Alignment of MEMS SINS Based on Adaptive Incremental Kalman Filter

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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Bibliographic Details
Main Authors: Hairong Chu, Tingting Sun, Baiqiang Zhang, Hongwei Zhang, Yang Chen
Format: Article
Language:English
Published: MDPI AG 2017-01-01
Series:Sensors
Subjects:
MEMS IMU
transfer alignment
adaptive incremental Kalman filter
information fusion
Online Access:http://www.mdpi.com/1424-8220/17/1/152

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