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Decenter Error Sensing Technology of Sparse Aperture Telescope Systems
- Source :
- IEEE Photonics Journal, Vol 13, Iss 2, Pp 1-9 (2021)
- Publication Year :
- 2021
- Publisher :
- IEEE, 2021.
-
Abstract
- The imaging quality of sparse aperture telescope systems is degraded by several factors including design, manufacturing, and arrangement errors. To achieve a high-resolution, the optical system requires an accurate control of not only the wave-front errors such as the piston and tip-tilt but also the decenter errors. Decenter diminishes the field of view of synthetic systems heavily and causes frequency shifting as well. In this paper, we firstly present an approach to sense the decenter of the sparse aperture telescope using the multi-beam interference method based on phase shift and centroid extraction algorithm. The most attractive point of our method is that it can sense not only the decenter but also the other wave-front errors simultaneously, but does not need to install any additional sensors. The numerical simulations are described and preliminary experiments are performed for validation, demonstrating that this technique is efficient and accurate and could be used to guide future sparse aperture telescope error correction.
- Subjects :
- lcsh:Applied optics. Photonics
Computer science
Aperture
Field of view
02 engineering and technology
Interference (wave propagation)
01 natural sciences
law.invention
010309 optics
Telescope
law
0103 physical sciences
lcsh:QC350-467
Computer vision
Point (geometry)
Electrical and Electronic Engineering
decenter sensing
sparse aperture telescope
business.industry
Centroid
lcsh:TA1501-1820
021001 nanoscience & nanotechnology
Atomic and Molecular Physics, and Optics
Artificial intelligence
0210 nano-technology
business
Error detection and correction
Phase modulation
lcsh:Optics. Light
Subjects
Details
- Language :
- English
- ISSN :
- 19430655
- Volume :
- 13
- Issue :
- 2
- Database :
- OpenAIRE
- Journal :
- IEEE Photonics Journal
- Accession number :
- edsair.doi.dedup.....77bcebb4fa75edfb020a9a9b5e2472c8