中文摘要：

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2.88Gbps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。

英文摘要：

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 realtime. These results show this system is able to identify the lightning on meteorology satellites.