CAJ | 학술논문

雷电电磁辐射的持续时间具有随机性。采用能量法检测雷电数据块，当信号长度远短于数据块长度时，将会产生噪声淹没信号现象而引起检测概率降低的问题。发现可利用峰度来描述含有短雷电信号的数据块的波形特征，而且能量块检测与特征检测具有互补特性。为了提高检测概率，将能量块检测和特征检测相结合，利用自动筛选思想和删余检测技术实时估计背景噪声，提出了实时自适应联合雷电检测算法。通过对实采的雷电数据进行实验，结果表明，所提出的检测算法能够明显提高检测概率，表明了其有效性和实用性。
뇌전전자복사적지속시간구유수궤성。채용능량법검측뇌전수거괴，당신호장도원단우수거괴장도시，장회산생조성엄몰신호현상이인기검측개솔강저적문제。발현가이용봉도래묘술함유단뇌전신호적수거괴적파형특정，이차능량괴검측여특정검측구유호보특성。위료제고검측개솔，장능량괴검측화특정검측상결합，이용자동사선사상화산여검측기술실시고계배경조성，제출료실시자괄응연합뇌전검측산법。통과대실채적뇌전수거진행실험，결과표명，소제출적검측산법능구명현제고검측개솔，표명료기유효성화실용성。
The radiation duration of lightning signal is random. When the signal length is much less than that of data block, lightning signal will be submerged by background noise using the energy block detection, so the detection probability will be re-duced. It is found that the kurtosis can be used to describe the characteristic of the data block of short lightning signal, and more-over, the energy block detection and characteristic detection have complementary properties. Therefore, a real-time adaptive joint detection algorithm based on energy block detection and characteristic detection is proposed to improve the detection proba-bility. And its background noise is estimated adaptively by auto-censoring and excision CFAR technique. The detection perfor-mance of this proposed detection algorithm is analyzed and simulated by real lightning data. The simulations and experiments show that this novel joint detection algorithm is effective to improve the detection probability obviously.