Robust partly strong tracking consider SDRE filter for direct INS/GNSS integration with biases

In order to counteract the adverse effects of biases in direct inertial navigation system/global navigation satellite system integration, a novel robust partly strong tracking consider state-dependent Riccati equation filter (PSTCSDREF) algorithm is proposed. A nonlinear 'consider' approac...

Full description

Saved in:
Bibliographic Details
Published in:Measurement science & technology 2020-11, Vol.31 (11), p.115016
Main Authors: Lou, Tai-shan, Wang, Xiao-qian, Zhao, Hong-mei, Chen, Zhi-wu
Format: Article
Language:English
Subjects:
biases
consider Kalman filter
INS/GNSS integration
SDRE
strong tracking
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In order to counteract the adverse effects of biases in direct inertial navigation system/global navigation satellite system integration, a novel robust partly strong tracking consider state-dependent Riccati equation filter (PSTCSDREF) algorithm is proposed. A nonlinear 'consider' approach is utilized to incorporate bias statistics into a state estimation error covariance of the state-dependent Riccati equation filter (SDREF), and a new consider SDREF (CSDREF) is proposed. Next, the prediction covariance of the state is partly multiplied by a strong tracking factor, which does not include bias covariance, so as to mitigate the adverse effects of model uncertainties on navigation performance. Numerical simulation demonstrates that the proposed PSTCSDREF demonstrates better navigational accuracy as compared with the extended Kalman filter, SDREF, and CSDREF.
ISSN:0957-0233
1361-6501
DOI:10.1088/1361-6501/ab8d59