INS Fine Alignment With Low-Cost Gyroscopes: Adaptive Filters for Different Measurement Types

Inertial navigation system stationary fine alignment process is a critical step in reducing the initial errors of the attitude and sensor biases. While many studies had been made for tactical grade systems, less attention was given to low-cost sensors, which are a major player in today’s...

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Main Authors: Itzik Klein, Yaakov Bar-Shalom
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9427485/
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author Itzik Klein
Yaakov Bar-Shalom
author_facet Itzik Klein
Yaakov Bar-Shalom
author_sort Itzik Klein
collection DOAJ
description Inertial navigation system stationary fine alignment process is a critical step in reducing the initial errors of the attitude and sensor biases. While many studies had been made for tactical grade systems, less attention was given to low-cost sensors, which are a major player in today’s inertial sensors market. To fill this gap, a measurement strategy combining different INS aiding types is proposed, analyzed and compared using numerical simulations and field experiments. Additionally, an analytical linear observability analysis is made to support the numerical comparisons. Further, five types of adaptive Kalman filters with the proposed measurement strategy are compared to find the appropriate one to improve the alignment performance. The proposed measurement strategy can be used in other applications of stationary conditions such as land vehicles, robots or shoe-mounted inertial navigation systems.
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spelling doaj.art-7eb46b667fe947eba528483e0441d1832022-12-21T22:22:12ZengIEEEIEEE Access2169-35362021-01-019790217903210.1109/ACCESS.2021.30793819427485INS Fine Alignment With Low-Cost Gyroscopes: Adaptive Filters for Different Measurement TypesItzik Klein0https://orcid.org/0000-0001-7846-0654Yaakov Bar-Shalom1https://orcid.org/0000-0003-1317-3368Department of Marine Technologies, University of Haifa, Haifa, IsraelElectrical and Computer Engineering Department, University of Connecticut, Storrs, CT, USAInertial navigation system stationary fine alignment process is a critical step in reducing the initial errors of the attitude and sensor biases. While many studies had been made for tactical grade systems, less attention was given to low-cost sensors, which are a major player in today’s inertial sensors market. To fill this gap, a measurement strategy combining different INS aiding types is proposed, analyzed and compared using numerical simulations and field experiments. Additionally, an analytical linear observability analysis is made to support the numerical comparisons. Further, five types of adaptive Kalman filters with the proposed measurement strategy are compared to find the appropriate one to improve the alignment performance. The proposed measurement strategy can be used in other applications of stationary conditions such as land vehicles, robots or shoe-mounted inertial navigation systems.https://ieeexplore.ieee.org/document/9427485/Extended Kalman filterfine alignmentinertial sensorszero velocity updates
spellingShingle Itzik Klein
Yaakov Bar-Shalom
INS Fine Alignment With Low-Cost Gyroscopes: Adaptive Filters for Different Measurement Types
IEEE Access
Extended Kalman filter
fine alignment
inertial sensors
zero velocity updates
title INS Fine Alignment With Low-Cost Gyroscopes: Adaptive Filters for Different Measurement Types
title_full INS Fine Alignment With Low-Cost Gyroscopes: Adaptive Filters for Different Measurement Types
title_fullStr INS Fine Alignment With Low-Cost Gyroscopes: Adaptive Filters for Different Measurement Types
title_full_unstemmed INS Fine Alignment With Low-Cost Gyroscopes: Adaptive Filters for Different Measurement Types
title_short INS Fine Alignment With Low-Cost Gyroscopes: Adaptive Filters for Different Measurement Types
title_sort ins fine alignment with low cost gyroscopes adaptive filters for different measurement types
topic Extended Kalman filter
fine alignment
inertial sensors
zero velocity updates
url https://ieeexplore.ieee.org/document/9427485/
work_keys_str_mv AT itzikklein insfinealignmentwithlowcostgyroscopesadaptivefiltersfordifferentmeasurementtypes
AT yaakovbarshalom insfinealignmentwithlowcostgyroscopesadaptivefiltersfordifferentmeasurementtypes