Design and implementation of lightning identification system on meteorological satellite

ZHOU Yan; TIAN Mao; ZHANG Qing-lin; CHEN Xi; XIONG Shu-yun

doi:10.3788/OPE.20122007.1587

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Design and implementation of lightning identification system on meteorological satellite

更新时间：2020-08-12

- Design and implementation of lightning identification system on meteorological satellite
- Optics and Precision Engineering Vol. 20, Issue 7, Pages: 1587-1594(2012)
- 作者机构：
  
  1. 武汉大学电子信息学院,湖北武汉,中国,430072
  2. 武汉大学微电子研究院,湖北武汉,430072
- 作者简介：
- 基金信息：
- DOI：10.3788/OPE.20122007.1587
  CLC： P414.4;TP391
- Received：17 January 2012，
  
  Revised：14 March 2012，
  
  Published Online：10 July 2012，
  
  Published：10 July 2012
- 稿件说明：
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周严, 田茂, 张青林, 陈曦, 熊淑云. 气象卫星闪电识别系统的设计与实现[J]. 光学精密工程, 2012,20(7): 1587-1594

ZHOU Yan, TIAN Mao, ZHANG Qing-lin, CHEN Xi, XIONG Shu-yun. Design and implementation of lightning identification system on meteorological satellite[J]. Editorial Office of Optics and Precision Engineering, 2012,20(7): 1587-1594
周严, 田茂, 张青林, 陈曦, 熊淑云. 气象卫星闪电识别系统的设计与实现[J]. 光学精密工程, 2012,20(7): 1587-1594 DOI： 10.3788/OPE.20122007.1587.

ZHOU Yan, TIAN Mao, ZHANG Qing-lin, CHEN Xi, XIONG Shu-yun. Design and implementation of lightning identification system on meteorological satellite[J]. Editorial Office of Optics and Precision Engineering, 2012,20(7): 1587-1594 DOI： 10.3788/OPE.20122007.1587.

摘要

设计了一种能够完成帧-帧背景去除算法的闪电识别系统

用于实时识别闪电事件并编码。该系统将闪电成像仪拍摄到的高速图像数据分成8个区域

用8个相同的子系统分别完成各个区域的闪电探测;在每个子系统中利用7片静态随机存储器(SRAM)以流水读写的方式完成7帧背景评估

并利用该方法实现7帧数据的帧-帧背景去除算法。实验结果显示

该系统可以完成2.88 Gbps高速数据流的接收

背景信号评估和去除

并且可实时识别闪电事件。这些结果表明该系统能够完成气象卫星闪电识别的任务。

Abstract

A lightning identification system that can realize frame-frame background removal algorithm is designed to accomplish the lightning identification and coding in real-time on a meteorological satellite. This system divides the high-speed image captured by a lightning imaging sensor into eight regions

and the lightning detection of each region is completed by an identical subsystem respectively. Each subsystem uses seven Static Random Access Memories(SRAMs) to read and write data in the pipelined architecture to implement the background evaluation and realize frame-frame background removal algorithm. Experimental results show that this system can receive high-speed data flow up to 2.88 Gbps

realize background signal evaluation and removal

and identify lightning events in real-time. These results show this system is able to identify the lightning on meteorology satellites.

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references

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