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步进的福里埃校正算法,用于提高分散边缘传感的稳定性,以发现倾斜/倾斜错误
Applied optics
|September 22, 2025
概括
分散边缘传感 (DFS) 性能以尖端/倾斜误差进行分析. 一个新的算法纠正这些错误,使得高精度的同相传感即使在干扰的情况下.
科学领域:
- 光学计量学 在光学计量学
- 干涉测量是干涉测量的方法.
- 波浪前线传感 波浪前线传感
背景情况:
- 分散边缘传感 (DFS) 是一种用于光学测量的技术.
- 倾斜错误在光学系统中很常见,可能会降低测量质量.
- 精确的同相传感对于适应光学和干扰计等应用至关重要.
研究的目的:
- 调查尖端/倾斜错误对分散边缘传感 (DFS) 性能的影响.
- 开发和验证一种新的算法,用于纠正受尖端/倾斜错误影响的DFS结果.
- 为了证明使用DFS在出现尖端/倾斜错误的情况下高精度同相传感的可行性.
主要方法:
- 开发一种分散边缘模型,该模型包含尖端/倾斜误差效应.
- 理论分析尖端/倾斜误差如何影响边缘质量和光路径差异.
- 基于富里埃变换分析的两步校正算法的实现.
- 数字模拟来评估算法在活塞传感中的精度.
主要成果:
- 发现尖端/倾斜错误会模糊分散边缘,并引入光路径差异.
- 拟议的两步算法有效地纠正尖端/倾斜诱导的错误.
- 数字模拟实现了高精度的活塞传感,RMS误差约为0.005微米.
- 开发的方法证明了对尖端/倾斜干扰的稳定性.
结论:
- 分散边缘传感 (DFS) 可以保持高精度的同相传感,尽管尖端/倾斜错误.
- 基于里埃转换的新算法为DFS的错误纠正提供了一个可行的解决方案.
- 这项研究支持DFS在要求高精度波面控制的光学计量应用中使用.
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