Evidence map›Paper›PMID 41011926›Full record

ArticleMicromachines2025

Variational Bayesian Innovation Saturation Kalman Filter for Micro-Electro-Mechanical System-Inertial Navigation System/Polarization Compass Integrated Navigation.

Yu Sun, Xiaojie Liu, Xiaochen Liu, Huijun Zhao, Chenguang Wang, Huiliang Cao, Chong Shen

Abstract read
In one paragraph

Article in Micromachines, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Yu SunKey Laboratory of Instrumentation Science & Dynamic Measurement, Ministry of Education, School of Instruments and Electronics, North University of China, Taiyuan 030051, China.
Xiaojie LiuKey Laboratory of Instrumentation Science & Dynamic Measurement, Ministry of Education, School of Instruments and Electronics, North University of China, Taiyuan 030051, China.
Xiaochen LiuKey Laboratory of Instrumentation Science & Dynamic Measurement, Ministry of Education, School of Instruments and Electronics, North University of China, Taiyuan 030051, China.
Huijun ZhaoKey Laboratory of Instrumentation Science & Dynamic Measurement, Ministry of Education, School of Instruments and Electronics, North University of China, Taiyuan 030051, China.
Chenguang WangKey Laboratory of Instrumentation Science & Dynamic Measurement, Ministry of Education, School of Instruments and Electronics, North University of China, Taiyuan 030051, China.
Huiliang CaoKey Laboratory of Instrumentation Science & Dynamic Measurement, Ministry of Education, School of Instruments and Electronics, North University of China, Taiyuan 030051, China.ORCID 0000-0001-9862-4329
Chong ShenKey Laboratory of Instrumentation Science & Dynamic Measurement, Ministry of Education, School of Instruments and Electronics, North University of China, Taiyuan 030051, China.ORCID 0000-0002-6046-6051

Funding

Aeronautical Science Foundation of China 202400080U0001Excellent Youth foundation of Shanxi Province 202103021222011the Aviation Science Foundation 2022Z0220U0002the fundamental research program of Shanxi Province 202303021211150the Fundamental Research Program of Shanxi Province 202403021222185the Key research and development project of Shanxi Province 202202020101002
6 · The paper itself

Abstract

Aiming at the issue of time-varying measurement noise with heavy-tailed characteristics and outliers generated by the polarization compass (PC) in the micro-electro-mechanical system-inertial navigation system (MEMS-INS) and PC-integrated navigation system when it is subject to internal and external disturbances, an improved Variational Bayesian Innovation Saturation Robust Adaptive Kalman filter (VISKF) algorithm is proposed. This algorithm utilizes the variational Bayesian (VB) method based on Student's

Indexed as

integrated navigation systemKalman filterpolarization compassStudent’s t-distributionvariational Bayesian

Identifiers

PMID41011926
PMCPMC12472092

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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.