2021
DOI: 10.5370/kiee.2020.70.2.269
|View full text |Cite
|
Sign up to set email alerts
|

A Study on the Parameter Estimation of Harmonic Equivalent Model Using the RANSAC and Recursive Least Square Algorithms

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2022
2022
2023
2023

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(2 citation statements)
references
References 0 publications
0
2
0
Order By: Relevance
“…The ultra-precision measurement of displacement is the foundation for the rapid development of modern ultra-precision machining, integrated circuits, precision scientific instruments and other fields. The ultra-high line density grating and grating interferometer are key components for precise displacement measurement and control [1][2][3][4][5]. Increasing the grating line density can effectively reduce the raw signal of displacement measurement and improve the displacement measurement resolution [2].…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…The ultra-precision measurement of displacement is the foundation for the rapid development of modern ultra-precision machining, integrated circuits, precision scientific instruments and other fields. The ultra-high line density grating and grating interferometer are key components for precise displacement measurement and control [1][2][3][4][5]. Increasing the grating line density can effectively reduce the raw signal of displacement measurement and improve the displacement measurement resolution [2].…”
Section: Introductionmentioning
confidence: 99%
“…In cases (1) and ( 2), the traditional method of discriminating coarse errors is not applicable to the Heydemann correction process of grating interferometer non-linear errors where the rejection of outliers has some influence on the fitting effect. In recent years, also with the rapid development of integrated circuits, machine learning with different optimization strategies to achieve fast traversal and analysis of each sample point has become increasingly popular, and the random sample consensus (RANSAC) is a machine learning optimization method that analyses the availability of the grating interferometer acquisition signal elements by iterative traversal, guided by the optimality of the ellipse fitting results [5,[29][30][31].…”
Section: Introductionmentioning
confidence: 99%