In-Motion Coarse Alignment Method Based on Position Loci and Optimal-REQUEST for SINS

In this paper, an improved in-motion coarse alignment method is proposed for a strapdown inertial navigation system (SINS) using position loci obtained from the Global Positioning System (GPS). The difference from the popular coarse alignment methods is that the proposed algorithm uses GPS position...

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Main Authors: Haoqian Huang, Jiaying Wei
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/12/14/7113
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author Haoqian Huang
Jiaying Wei
author_facet Haoqian Huang
Jiaying Wei
author_sort Haoqian Huang
collection DOAJ
description In this paper, an improved in-motion coarse alignment method is proposed for a strapdown inertial navigation system (SINS) using position loci obtained from the Global Positioning System (GPS). The difference from the popular coarse alignment methods is that the proposed algorithm uses GPS position loci information to form the vector observation, and does not need velocity information, which expands the application range of in-motion coarse alignment. In addition, this paper utilizes the Optimal-REQUEST algorithm to reduce the influence of random errors contained in the vector observation. The Optimal-REQUEST algorithm is an adaptive iterative updating algorithm, which can adaptively adjust the gain of the filter according to the loss function. Simulation results confirmed that the proposed algorithm can suppress the impact of random errors effectively. The pitch, roll and yaw angles calculated by the proposed algorithm were improved by 51.95%, 53.80% and 63.03% compared with the comparison algorithms.
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spelling doaj.art-95fdbc652ae84b0f8cf04c61aa6df7862023-12-01T21:51:39ZengMDPI AGApplied Sciences2076-34172022-07-011214711310.3390/app12147113In-Motion Coarse Alignment Method Based on Position Loci and Optimal-REQUEST for SINSHaoqian Huang0Jiaying Wei1College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, ChinaCollege of Energy and Electrical Engineering, Hohai University, Nanjing 211100, ChinaIn this paper, an improved in-motion coarse alignment method is proposed for a strapdown inertial navigation system (SINS) using position loci obtained from the Global Positioning System (GPS). The difference from the popular coarse alignment methods is that the proposed algorithm uses GPS position loci information to form the vector observation, and does not need velocity information, which expands the application range of in-motion coarse alignment. In addition, this paper utilizes the Optimal-REQUEST algorithm to reduce the influence of random errors contained in the vector observation. The Optimal-REQUEST algorithm is an adaptive iterative updating algorithm, which can adaptively adjust the gain of the filter according to the loss function. Simulation results confirmed that the proposed algorithm can suppress the impact of random errors effectively. The pitch, roll and yaw angles calculated by the proposed algorithm were improved by 51.95%, 53.80% and 63.03% compared with the comparison algorithms.https://www.mdpi.com/2076-3417/12/14/7113coarse alignmentstrapdown inertial navigation systemattitude estimationobservation vector
spellingShingle Haoqian Huang
Jiaying Wei
In-Motion Coarse Alignment Method Based on Position Loci and Optimal-REQUEST for SINS
Applied Sciences
coarse alignment
strapdown inertial navigation system
attitude estimation
observation vector
title In-Motion Coarse Alignment Method Based on Position Loci and Optimal-REQUEST for SINS
title_full In-Motion Coarse Alignment Method Based on Position Loci and Optimal-REQUEST for SINS
title_fullStr In-Motion Coarse Alignment Method Based on Position Loci and Optimal-REQUEST for SINS
title_full_unstemmed In-Motion Coarse Alignment Method Based on Position Loci and Optimal-REQUEST for SINS
title_short In-Motion Coarse Alignment Method Based on Position Loci and Optimal-REQUEST for SINS
title_sort in motion coarse alignment method based on position loci and optimal request for sins
topic coarse alignment
strapdown inertial navigation system
attitude estimation
observation vector
url https://www.mdpi.com/2076-3417/12/14/7113
work_keys_str_mv AT haoqianhuang inmotioncoarsealignmentmethodbasedonpositionlociandoptimalrequestforsins
AT jiayingwei inmotioncoarsealignmentmethodbasedonpositionlociandoptimalrequestforsins