A MEMS-INS assisted GNSS vector tracking loop for robust navigation based on cubature Kalman Filter

The occlusion of shade leads to the intermittent reception of satellite signals, which subsequently results in a decline of the positioning accuracy of Global Navigation Satellite System (GNSS). In order to improve the accuracy of positioning and ensure the continuity of navigation results in weak s...

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Main Authors: Wei Liu, Minghui Mou, Yuan Hu, Hua Huang, Yihang Shi, Shengzheng Wang
Format: Article
Language:English
Published: SAGE Publishing 2023-03-01
Series:Measurement + Control
Online Access:https://doi.org/10.1177/00202940221095533
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author Wei Liu
Minghui Mou
Yuan Hu
Hua Huang
Yihang Shi
Shengzheng Wang
author_facet Wei Liu
Minghui Mou
Yuan Hu
Hua Huang
Yihang Shi
Shengzheng Wang
author_sort Wei Liu
collection DOAJ
description The occlusion of shade leads to the intermittent reception of satellite signals, which subsequently results in a decline of the positioning accuracy of Global Navigation Satellite System (GNSS). In order to improve the accuracy of positioning and ensure the continuity of navigation results in weak signal environment, a cubature Kalman Filter (CKF)-based micro-electro mechanical-system (MEMS) grade inertial navigation system (INS) assisted GNSS vector tracking (VT) loop is proposed in this paper. Combining effective GNSS measurements and INS information, attitude, velocity, and position results are predicted by CKF, and the pseudo-range results from navigation filter are fed back into the VT loop. The field tests show that the proposed CKF-based MEMS-INS assisted GNSS VT loop can run continuously and stably in weak signal environment with higher navigation accuracy.
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spelling doaj.art-2ce2bf23e8fe4c8499bd71b86b0299ce2023-03-27T15:36:46ZengSAGE PublishingMeasurement + Control0020-29402023-03-015610.1177/00202940221095533A MEMS-INS assisted GNSS vector tracking loop for robust navigation based on cubature Kalman FilterWei Liu0Minghui Mou1Yuan Hu2Hua Huang3Yihang Shi4Shengzheng Wang5Merchant Marine College, Shanghai Maritime University, Shanghai, ChinaMerchant Marine College, Shanghai Maritime University, Shanghai, ChinaCollege of Engineering Science and Technology, Shanghai Ocean University, Shanghai, ChinaMerchant Marine College, Shanghai Maritime University, Shanghai, ChinaMerchant Marine College, Shanghai Maritime University, Shanghai, ChinaMerchant Marine College, Shanghai Maritime University, Shanghai, ChinaThe occlusion of shade leads to the intermittent reception of satellite signals, which subsequently results in a decline of the positioning accuracy of Global Navigation Satellite System (GNSS). In order to improve the accuracy of positioning and ensure the continuity of navigation results in weak signal environment, a cubature Kalman Filter (CKF)-based micro-electro mechanical-system (MEMS) grade inertial navigation system (INS) assisted GNSS vector tracking (VT) loop is proposed in this paper. Combining effective GNSS measurements and INS information, attitude, velocity, and position results are predicted by CKF, and the pseudo-range results from navigation filter are fed back into the VT loop. The field tests show that the proposed CKF-based MEMS-INS assisted GNSS VT loop can run continuously and stably in weak signal environment with higher navigation accuracy.https://doi.org/10.1177/00202940221095533
spellingShingle Wei Liu
Minghui Mou
Yuan Hu
Hua Huang
Yihang Shi
Shengzheng Wang
A MEMS-INS assisted GNSS vector tracking loop for robust navigation based on cubature Kalman Filter
Measurement + Control
title A MEMS-INS assisted GNSS vector tracking loop for robust navigation based on cubature Kalman Filter
title_full A MEMS-INS assisted GNSS vector tracking loop for robust navigation based on cubature Kalman Filter
title_fullStr A MEMS-INS assisted GNSS vector tracking loop for robust navigation based on cubature Kalman Filter
title_full_unstemmed A MEMS-INS assisted GNSS vector tracking loop for robust navigation based on cubature Kalman Filter
title_short A MEMS-INS assisted GNSS vector tracking loop for robust navigation based on cubature Kalman Filter
title_sort mems ins assisted gnss vector tracking loop for robust navigation based on cubature kalman filter
url https://doi.org/10.1177/00202940221095533
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