2021
DOI: 10.1109/tim.2020.3039633
|View full text |Cite
|
Sign up to set email alerts
|

Subdivision Method for Nonorthogonal Moiré Signals

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
1
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
6
1

Relationship

0
7

Authors

Journals

citations
Cited by 8 publications
(2 citation statements)
references
References 22 publications
0
1
0
Order By: Relevance
“…Hou et al [9] realized high-precision measurement technology of a single-excitation petal-shaped capacitive encoder based on periodic nonlinear error compensation. In 2020, Zhu et al [10] proposed a method to directly subdivide non-orthogonal moiré signals, which avoids the problem of high resource occupation caused by theoretical error introduced by the CORDIC algorithm in inverse cosine calculation and orthogonal error compensation. In 2022, Hou et al [11] analyzed the generation principle of the grating moiré fringe subdivision error by the mathematical model to the characteristics of the grating signal waveform equation and proved through experiments that the method can make the overall system obtain better convergence efficiency and a more accurate fitness value.…”
Section: Introductionmentioning
confidence: 99%
“…Hou et al [9] realized high-precision measurement technology of a single-excitation petal-shaped capacitive encoder based on periodic nonlinear error compensation. In 2020, Zhu et al [10] proposed a method to directly subdivide non-orthogonal moiré signals, which avoids the problem of high resource occupation caused by theoretical error introduced by the CORDIC algorithm in inverse cosine calculation and orthogonal error compensation. In 2022, Hou et al [11] analyzed the generation principle of the grating moiré fringe subdivision error by the mathematical model to the characteristics of the grating signal waveform equation and proved through experiments that the method can make the overall system obtain better convergence efficiency and a more accurate fitness value.…”
Section: Introductionmentioning
confidence: 99%
“…The quality of signal processing in grating encoder plays a vital role in the measurement precision of the system [10][11][12][13]. In order to improve the precision and ensure the real-time measurement, it is important to find the best the signal processing algorithm and use special hardware to accelerate the algorithm [14][15][16].…”
Section: Introductionmentioning
confidence: 99%