Evidence map›Paper›PMID 33286537›Full record

ArticleEntropy (Basel, Switzerland)2020

A Denoising Method for Fiber Optic Gyroscope Based on Variational Mode Decomposition and Beetle Swarm Antenna Search Algorithm.

Pengfei Wang, Yanbin Gao, Menghao Wu, Fan Zhang, Guangchun Li, Chao Qin

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Entropy (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Pengfei WangCollage of Automation, Harbin Engineering University, Harbin 150001, China.ORCID 0000-0002-1899-8134
Yanbin GaoCollage of Automation, Harbin Engineering University, Harbin 150001, China.
Menghao WuCollage of Automation, Harbin Engineering University, Harbin 150001, China.
Fan ZhangCollage of Automation, Harbin Engineering University, Harbin 150001, China.
Guangchun LiCollage of Automation, Harbin Engineering University, Harbin 150001, China.
Chao QinCollage of Automation, Harbin Engineering University, Harbin 150001, China.

Funding

National Natural Science Foundation of China No. 61803118Science and Technology Research Program of Chongqing Municipal Education Commission KJZD-K201804701
6 · The paper itself

Abstract

Fiber optic gyroscope (FOG) is one of the important components of Inertial Navigation Systems (INS). In order to improve the accuracy of the INS, it is necessary to suppress the random error of the FOG signal. In this paper, a variational mode decomposition (VMD) denoising method based on beetle swarm antenna search (BSAS) algorithm is proposed to reduce the noise in FOG signal. Firstly, the BSAS algorithm is introduced in detail. Then, the permutation entropy of the band-limited intrinsic mode functions (BLIMFs) is taken as the optimization index, and two key parameters of VMD algorithm, including decomposition mode number

Indexed as

beetle swarm antenna search algorithmfiber optic gyroscopepermutation entropysignal denoisingvariational mode decomposition

Identifiers

PMID33286537
PMCPMC7517315

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.