An Improved Adaptive Compensation H∞ Filtering Method for the SINS’ Transfer Alignment Under a Complex Dynamic Environment
Transfer alignment on a moving base under a complex dynamic environment is one of the toughest challenges in a strapdown inertial navigation system (SINS). With the aim of improving rapidity and accuracy, velocity plus attitude matching is applied in the transfer alignment model. Meanwhile, the erro...
Main Authors: | Weiwei Lyu, Xianghong Cheng, Jinling Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-01-01
|
Series: | Sensors |
Subjects: | |
Online Access: | http://www.mdpi.com/1424-8220/19/2/401 |
Similar Items
-
A Novel Adaptive H∞ Filtering Method with Delay Compensation for the Transfer Alignment of Strapdown Inertial Navigation Systems
by: Weiwei Lyu, et al.
Published: (2017-11-01) -
In-Motion Attitude and Position Alignment for Odometer-Aided SINS Based on Backtracking Scheme
by: Yiding Sun, et al.
Published: (2019-01-01) -
A Self-Alignment Algorithm for SINS Based on Gravitational Apparent Motion and Sensor Data Denoising
by: Yiting Liu, et al.
Published: (2015-04-01) -
Coarse Alignment Technology on Moving base for SINS Based on the Improved Quaternion Filter Algorithm
by: Tao Zhang, et al.
Published: (2017-06-01) -
Initial Alignment of Large Azimuth Misalignment Angles in SINS Based on Adaptive UPF
by: Jin Sun, et al.
Published: (2015-08-01)