Evidence map›Paper›PMID 29649150›Full record

ArticleSensors (Basel, Switzerland)2018

Self-Alignment MEMS IMU Method Based on the Rotation Modulation Technique on a Swing Base.

Haifeng Xing, Zhiyong Chen, Haotian Yang, Chengbin Wang, Zhihui Lin, Meifeng Guo

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Haifeng XingEngineering Research Center for Navigation Technology, Department of Precision Instruments, Tsinghua University, Beijing 100084, China. xhf15@mails.tsinghua.edu.cn.ORCID 0000-0001-6497-3969
Zhiyong ChenEngineering Research Center for Navigation Technology, Department of Precision Instruments, Tsinghua University, Beijing 100084, China. chendelta@mail.tsinghua.edu.cn.
Haotian YangEngineering Research Center for Navigation Technology, Department of Precision Instruments, Tsinghua University, Beijing 100084, China. yang-ht17@mails.tsinghua.edu.cn.
Chengbin WangEngineering Research Center for Navigation Technology, Department of Precision Instruments, Tsinghua University, Beijing 100084, China. wcb17@mails.tsinghua.edu.cn.
Zhihui LinEngineering Research Center for Navigation Technology, Department of Precision Instruments, Tsinghua University, Beijing 100084, China. linzh15@mails.tsinghua.edu.cn.
Meifeng GuoEngineering Research Center for Navigation Technology, Department of Precision Instruments, Tsinghua University, Beijing 100084, China. guomf@mail.tsinghua.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The micro-electro-mechanical-system (MEMS) inertial measurement unit (IMU) has been widely used in the field of inertial navigation due to its small size, low cost, and light weight, but aligning MEMS IMUs remains a challenge for researchers. MEMS IMUs have been conventionally aligned on a static base, requiring other sensors, such as magnetometers or satellites, to provide auxiliary information, which limits its application range to some extent. Therefore, improving the alignment accuracy of MEMS IMU as much as possible under swing conditions is of considerable value. This paper proposes an alignment method based on the rotation modulation technique (RMT), which is completely self-aligned, unlike the existing alignment techniques. The effect of the inertial sensor errors is mitigated by rotating the IMU. Then, inertial frame-based alignment using the rotation modulation technique (RMT-IFBA) achieved coarse alignment on the swing base. The strong tracking filter (STF) further improved the alignment accuracy. The performance of the proposed method was validated with a physical experiment, and the results of the alignment showed that the standard deviations of pitch, roll, and heading angle were 0.0140 ° , 0.0097 ° , and 0.91 ° , respectively, which verified the practicality and efficacy of the proposed method for the self-alignment of the MEMS IMU on a swing base.

Indexed as

inertial frame-based alignmentMEMS IMUrotation modulation techniquestrong tracking filterswing base

Identifiers

PMID29649150
PMCPMC5948697

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.