Optimal Design of Segmented Planar Imaging System Based on Rotation and CLEAN Algorithm

We propose a parity-baseline segmented planar imaging method with more frequency components by changing different baseline selection to achieve better imaging in the rotational process. A theoretical model of the parity-baseline segmented planar imaging system with rotational operation is built to a...

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Bibliographic Details
Main Authors: Zhizi Ming, Yang Liu, Shanchuang Li, Mengchen Zhou, Haoran Du, Xiaochun Zhang, Yong Zuo, Jifang Qiu, Jian Wu, Lu Gao, Ze Zhang
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Photonics
Subjects:
Online Access:https://www.mdpi.com/2304-6732/10/1/46
Description
Summary:We propose a parity-baseline segmented planar imaging method with more frequency components by changing different baseline selection to achieve better imaging in the rotational process. A theoretical model of the parity-baseline segmented planar imaging system with rotational operation is built to analyze the imaging effect. The simulation results show that the imaging quality of the parity-baseline segmented planar imaging system has an approximately 20% increase by rotation compared with the conventional system. In addition, the CLEAN algorithm in radio astronomy imaging is also applied to the parity-baseline segmented planar imaging system, and the image quality is further improved by 55%. Such a new imaging method holds great potential toward astronomical observation and detection.
ISSN:2304-6732