Pointing error compensation of electro-optical detection systems using Gaussian process regression Article Swipe
Qijian Tang
,
Qingping Yang
,
Xiangjun Wang
,
Alistair Forbes
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1051/ijmqe/2021020
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1051/ijmqe/2021020
Pointing accuracy is an important indicator for electro-optical detection systems, as it significantly affects the system performance. However, as a result of misalignment, nonperpendicularity in the manufacturing and assembly processes, as well as the sensor errors such as camera distortion and angular sensor error, the pointing accuracy is significantly affected. These errors should be compensated before using the system. Parametric models are firstly proposed to compensate for the errors, whilst the semi-parametric models with the nonlinearity added are also put forward. Both methods should analyse the parametric part first, which is a complicated and inaccurate process. This paper presents a nonparametric model, without any prior information about mechanical dimensions, etc. It depends only on the test data. Gaussian Process regression is used to represent the relationship between data and predict the compensated output. The test results have shown that the regression variances have decreased by more than an order of magnitude, and the means have also been significantly reduced, with the pointing error well improved. The nonparametric model based on Gaussian Process is thus demonstrated to be an effective and powerful tool for the pointing error compensation.
Related Topics
Concepts
Parametric statistics
Nonparametric statistics
Compensation (psychology)
Distortion (music)
Process (computing)
Nonparametric regression
Gaussian process
Computer science
Observational error
Kriging
Gaussian
Regression analysis
Control theory (sociology)
Artificial intelligence
Mathematics
Statistics
Machine learning
Control (management)
Bandwidth (computing)
Psychology
Quantum mechanics
Amplifier
Psychoanalysis
Physics
Computer network
Operating system
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1051/ijmqe/2021020
- https://www.metrology-journal.org/articles/ijmqe/pdf/2021/01/ijmqe210007.pdf
- OA Status
- gold
- Cited By
- 8
- References
- 21
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3198418403
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W3198418403Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1051/ijmqe/2021020Digital Object Identifier
- Title
-
Pointing error compensation of electro-optical detection systems using Gaussian process regressionWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-01-01Full publication date if available
- Authors
-
Qijian Tang, Qingping Yang, Xiangjun Wang, Alistair ForbesList of authors in order
- Landing page
-
https://doi.org/10.1051/ijmqe/2021020Publisher landing page
- PDF URL
-
https://www.metrology-journal.org/articles/ijmqe/pdf/2021/01/ijmqe210007.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.metrology-journal.org/articles/ijmqe/pdf/2021/01/ijmqe210007.pdfDirect OA link when available
- Concepts
-
Parametric statistics, Nonparametric statistics, Compensation (psychology), Distortion (music), Process (computing), Nonparametric regression, Gaussian process, Computer science, Observational error, Kriging, Gaussian, Regression analysis, Control theory (sociology), Artificial intelligence, Mathematics, Statistics, Machine learning, Control (management), Bandwidth (computing), Psychology, Quantum mechanics, Amplifier, Psychoanalysis, Physics, Computer network, Operating systemTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
8Total citation count in OpenAlex
- Citations by year (recent)
-
2024: 5, 2023: 3Per-year citation counts (last 5 years)
- References (count)
-
21Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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