光电工程, 2011, 38 (2): 28, 网络出版: 2011-02-28
闪电信号的探测分析及其模糊识别研究
Detection Analysis and Fuzzy Recognition Investigation for Lightning Signal
闪电 光电信号 同步探测 统计分析 模糊数学理论 闪电识别 lightning optical and electrical signals simultaneous detection statistic analysis fuzzy mathematics lightning recognition
摘要
使用自主研发的基于DSP 片上系统的闪电光电信号同步探测与定位系统,对2009 年8 月杭州地区自然闪电的光辐射信号和电磁脉冲信号进行了同步探测。从信号时域特征的角度对获得的闪电数据进行了统计分析,得出光电信号在信号开始时间差、到达峰值时间差、脉冲上升沿时间差和脉冲宽度时间差等4 个特征上的统计结果。结果表明:闪电光信号脉冲的发生时间和峰值到达时间均滞后于电信号,且脉冲上升沿宽度和脉冲宽度比电信号宽;云闪信号的上述四个特征值均比地闪信号大。最后,基于模糊数学理论,将上述4 个特征作为模糊识别特征,建立模糊隶属度函数,对闪电类型进行了识别研究,识别率达到95%以上。
Abstract
Simultaneous detection and location system of lightning optical and electrical signals based on DSP system were used to detect the optical and electrical signals simultaneously in Hangzhou, August, 2009. The detected data are analyzed statistically by time domain characteristics, and statistical results on initial time difference, peak time difference, rise time difference and pulse widths difference between the optical and electrical signals are obtained. The results show that the lightning optical signal is always delayed from the electrical signal on onset and peak time, and the optical pulse rises more slowly to the peak and its pulse-width is broader. The four characteristics of in-cloud flash are all larger than that of Cloud-ground flash. At last, based on fuzzy mathematics, and the above four characteristics as the fuzzy recognition characteristics, fuzzy membership function is established, by which the pattern recognition of lightning is researched and the recognition rate achieves 95%.
项震, 刘明, 李鹏, 郑毅, 范江兵. 闪电信号的探测分析及其模糊识别研究[J]. 光电工程, 2011, 38(2): 28. XIANG Zhen, LIU Ming, LI Peng, ZHENG Yi, FAN Jiang-bing. Detection Analysis and Fuzzy Recognition Investigation for Lightning Signal[J]. Opto-Electronic Engineering, 2011, 38(2): 28.