紫外遥感仪器高速CMOS成像电子学系统

张恒; 马庆军; 王淑荣

doi:10.3788/OPE.20182602.0471

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紫外遥感仪器高速CMOS成像电子学系统

信息科学 | 更新时间：2020-07-05

- 紫外遥感仪器高速CMOS成像电子学系统
- High speed CMOS imaging electronics system for ultraviolet remote sensing instrument
- 光学精密工程 2018年26卷第2期页码：471-479
- 作者机构：
  
  1.中国科学院长春光学精密机械与物理研究所, 吉林长春 130033
  2.中国科学院大学, 北京 100049
- 作者简介：
  
  [ "张恒(1990-), 男, 吉林四平人, 博士研究生, 助理研究员, 2013年、2015年于哈尔滨工业大学分别获得学士、硕士学位, 主要从事遥感数据获取及微弱信号检测技术方面的研究。E-mail:zhangheng@ciomp.ac.cn" ]
  [ "马庆军(1979-), 男, 黑龙江密山人, 博士, 副研究员, 2003年于中国科学技术大学获得学士学位, 2008年于中国科学院研究生院获得博士学位, 主要从事遥感数据获取和处理算法的研究。E-mail:qjma@ciomp.ac.cn" ]
- 基金信息：
  
  国家自然科学基金资助项目(41575023);国家自然科学基金资助项目(41105014)
- DOI：10.3788/OPE.20182602.0471
  中图分类号： TH744.1;TN386.5
- 收稿日期：2017-11-03，
  
  录用日期：2018-1-19，
  
  纸质出版日期：2018-02-25
- 稿件说明：
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张恒, 马庆军, 王淑荣. 紫外遥感仪器高速CMOS成像电子学系统[J]. 光学精密工程, 2018,26(2):471-479.

Heng ZHANG, Qing-jun MA, Shu-rong WANG. High speed CMOS imaging electronics system for ultraviolet remote sensing instrument[J]. Optics and precision engineering, 2018, 26(2): 471-479.
张恒, 马庆军, 王淑荣. 紫外遥感仪器高速CMOS成像电子学系统[J]. 光学精密工程, 2018,26(2):471-479. DOI： 10.3788/OPE.20182602.0471.

Heng ZHANG, Qing-jun MA, Shu-rong WANG. High speed CMOS imaging electronics system for ultraviolet remote sensing instrument[J]. Optics and precision engineering, 2018, 26(2): 471-479. DOI： 10.3788/OPE.20182602.0471.

摘要

基于长光辰芯公司的背照式CMOS探测器GSENSE400和Xilinx公司的Virtex-4 FPGA，设计了紫外遥感仪器高速CMOS成像电子学系统，包括探测器驱动电路、低噪声偏置电源电路及时序控制单元等。在接收高速图像数据时，针对传统的通道训练方法只考虑了线路上的随机性抖动而没有考虑固定性抖动的问题，提出了一种新的训练策略，增加了对采样数据正确性的判断，提高了对数据眼图有效窗口识别的准确度。为了克服在随后的图像数据传输过程中由于温度变化和电压漂移引起的采样点的再次偏移，提出了一种实时窗口监视算法，在不影响数据正常传输的情况下，利用监视通道实时监测采样点与有效窗口左右边界的距离，根据需要及时重新调整线路延时，使采样点始终位于比有效窗口更小的一个安全采样窗口内，由此保证了图像数据长时间接收的高可靠性。设计的高速CMOS成像电子学系统工作稳定，输出图像数据率最高可达2.4 Gb/s，读出噪声为1.72e

，动态范围94 dB，满足载荷的任务需求。

Abstract

For ultraviolet remote sensing instrument

a CMOS spectral imaging system based on the CMOS image sensor GSENSE400 produced by Gpixel company and Virtex-4 FPGA produced by Xilinx company was realized

including driving circuits

bias and the timing control unit. When receiving the high-speed data

the conventional LVDS training method only take into account the random jitter and ignore the sample error caused by deterministic jitter. Therefore

a new training algorithm was established to improve the accuracy of transition identification by increasing a judgment of sample data correctness. A real-time window monitor method was also presented to avoid the drift of temperature and voltage in aerospace application without affecting the data transmission. By monitoring the distance between sampling edge and the edges of data window and readjusting the delay of the data paths as soon as the window enter the transition

the method held the sampling edge in the safe sampling window and ensured the high reliability of long time data receiving. The system designed is stable and reliable

the highest image data rate is 2.5 Gb/s

the temporal noise is 1.72e

the dynamic range is 94 dB

satisfies the requirement of the space load.

关键词

Keywords

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