Optimal Weighted Fusion Based on Recursive Least Squares for Dynamic North-Finding of MIMU on a Tilting Base Article Swipe
Haifeng Xing
,
Zhiyong Chen
,
Xinxi Zhang
,
Haotian Yang
,
Meifeng Guo
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1109/access.2019.2929645
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1109/access.2019.2929645
Accurate estimation of orientation is very important in the field of inertial navigation. With the development of the technology of micro electro mechanical systems (MEMS), suppressing the influence of a gyro drift by means of continuous rotation (“carouseling”) has become a research hotspot. However, most of the current studies are still experiments conducted on the horizontal plane but carrying out north-seeking research on non-horizontal planes is also much valuable because it is common in practical scenarios, such as in the mining and drilling environment. In this paper, a feasible dynamic north-finder method for a micro inertial measurement unit (MIMU) based on the MEMS technology on a tilting plane is proposed. The fast Fourier transform (FFT) algorithm is used to analyze the appropriate rotation rate, and the tilting angle and heading angle are calculated in real time by an optimal weighted fusion based on recursive least squares (OWFBRLS) algorithm. Higher-precision orientation results can be achieved through the introduction of the optimal weighted fusion (OWF) theory. This paper demonstrates the experimental method and data processing in detail. The experimental results indicate that the proposed algorithm can provide accurate inclinations and headings, and the standard deviation (SD) of heading angle can reach approximately 0.6° in 3 minutes, which is superior to the methods in the literature and still has high precision in the case of large tilting angles. These profound results prove the feasibility and effectiveness of the proposed method.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/access.2019.2929645
- https://ieeexplore.ieee.org/ielx7/6287639/8600701/08765725.pdf
- OA Status
- gold
- Cited By
- 10
- References
- 20
- Related Works
- 10
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- https://openalex.org/W2963273991
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https://openalex.org/W2963273991Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1109/access.2019.2929645Digital Object Identifier
- Title
-
Optimal Weighted Fusion Based on Recursive Least Squares for Dynamic North-Finding of MIMU on a Tilting BaseWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2019Year of publication
- Publication date
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2019-01-01Full publication date if available
- Authors
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Haifeng Xing, Zhiyong Chen, Xinxi Zhang, Haotian Yang, Meifeng GuoList of authors in order
- Landing page
-
https://doi.org/10.1109/access.2019.2929645Publisher landing page
- PDF URL
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https://ieeexplore.ieee.org/ielx7/6287639/8600701/08765725.pdfDirect link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://ieeexplore.ieee.org/ielx7/6287639/8600701/08765725.pdfDirect OA link when available
- Concepts
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Base (topology), Recursive least squares filter, Fusion, Computer science, Control theory (sociology), Dynamic programming, Mathematics, Mathematical optimization, Algorithm, Artificial intelligence, Mathematical analysis, Adaptive filter, Linguistics, Philosophy, Control (management)Top concepts (fields/topics) attached by OpenAlex
- Cited by
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10Total citation count in OpenAlex
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2025: 1, 2024: 2, 2023: 1, 2022: 3, 2021: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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