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Volume: 64 | Article ID: jist0751
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Design of a Low Noise Area Array CCD Imaging System for Exoplanet Search
  DOI :  10.2352/J.ImagingSci.Technol.2020.64.3.030504  Published OnlineMay 2020
Abstract
Abstract

The search for exoplanets is a focal topic in astronomy. Since the signal from the detected target is very weak, the imaging system needs to have ultra-low readout noise. Therefore, a low noise charge-coupled diode (CCD) imaging system for exoplanet search (LNCIS) is proposed. Based on the area array CCD (TH7888A), the circuit and timing drive of LNCIS are designed. Especially, the application of correlation dual sampling (CDS) and asynchronous first-in, first-out (FIFO) memory can effectively suppress the correlation noise of the image signal. Moreover, this article proposes a fully differential double correlation sampling method, which can achieve better sampling effect and can better eliminate common-mode noise, improve dynamic range, and achieve high-quality image signal output. In addition, an independent counting method for adjusting the exposure time is proposed, which satisfies the requirements of the long exposure time of the imaging system, so that the CCD can be provided an independent and adjustable exposure time in the photosensitive stage. The LNCIS uses the FPGA (ZYNQ7000) as the core control device to produce the timing according to the function of the system. Finally, the experimental results show that the real-time image acquisition is achieved under the condition that the CCD readout clock frequency is 20 MHz. It is verified that the circuit and timing drive of the imaging system can meet the design requirements.

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  Cite this article 

Lamei Di, Hong Liu, Ruyi Wei, Nianzu Qiao, Shasha Chen, "Design of a Low Noise Area Array CCD Imaging System for Exoplanet Searchin Journal of Imaging Science and Technology,  2020,  pp 030504-1 - 030504-9,  https://doi.org/10.2352/J.ImagingSci.Technol.2020.64.3.030504

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Copyright © Society for Imaging Science and Technology 2020
  Article timeline 
  • received July 2019
  • accepted February 2020
  • PublishedMay 2020

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