Evidence map›Paper›PMID 29562653›Full record

ArticleSensors (Basel, Switzerland)2018

Compensation of Horizontal Gravity Disturbances for High Precision Inertial Navigation.

Junbo Tie, Juliang Cao, Meiping Wu, Junxiang Lian, Shaokun Cai, Lin Wang

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Junbo TieNational University of Defense Technology, Deya Road No. 109, Kaifu District, Changsha 410073, China. tiejunbo11@nudt.edu.cn.ORCID 0000-0002-8989-8931
Juliang CaoNational University of Defense Technology, Deya Road No. 109, Kaifu District, Changsha 410073, China. cjvl@163.com.
Meiping WuNational University of Defense Technology, Deya Road No. 109, Kaifu District, Changsha 410073, China. meipingwu@263.net.
Junxiang LianNational University of Defense Technology, Deya Road No. 109, Kaifu District, Changsha 410073, China. jx_lian@163.com.
Shaokun CaiNational University of Defense Technology, Deya Road No. 109, Kaifu District, Changsha 410073, China. csk527@163.com.
Lin WangNational University of Defense Technology, Deya Road No. 109, Kaifu District, Changsha 410073, China. wanglinshanda@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Horizontal gravity disturbances are an important factor that affects the accuracy of inertial navigation systems in long-duration ship navigation. In this paper, from the perspective of the coordinate system and vector calculation, the effects of horizontal gravity disturbance on the initial alignment and navigation calculation are simultaneously analyzed. Horizontal gravity disturbances cause the navigation coordinate frame built in initial alignment to not be consistent with the navigation coordinate frame in which the navigation calculation is implemented. The mismatching of coordinate frame violates the vector calculation law, which will have an adverse effect on the precision of the inertial navigation system. To address this issue, two compensation methods suitable for two different navigation coordinate frames are proposed, one of the methods implements the compensation in velocity calculation, and the other does the compensation in attitude calculation. Finally, simulations and ship navigation experiments confirm the effectiveness of the proposed methods.

Indexed as

deflection of verticalhorizontal gravity disturbanceinertial navigationinitial alignment

Identifiers

PMID29562653
PMCPMC5876689

What OpenQuestion holds

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Registered trials

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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.