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A novel algorithm for real-time adaptive signal detection in lightning location system

机译:雷电定位系统中实时自适应信号检测的新算法

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The VHF band intracloud lightning location and detection system consist of mutli-stations, where the VHF band intracloud lightning signal is detected and preprocessed. The detection result and the acquired data are transmitted to the central station, where the lightning location is accomplished by processing those acquired lightning data. Based on the short-time energy detection, this paper describes a novel digital signal processing algorithm for adaptively detecting VHF intracloud lightning signals. The algorithm continually computes and updates the long-term statistics of the background noise. Using this noise model, a set of adaptive thresholds is implemented to detect the lightning signal. The algorithm described herein is well suited for real-time implementation on digital signal processing hareware. This paper presents the theory of the adaptive algorithm, provides an algorithm block diagram, and demonstrate its emplementation and performance of the real-acquired VHF band lightning data at the frequency of 290MHz.
机译:VHF波段云内闪电定位和检测系统由多站组成,其中对VHF波段云内闪电信号进行检测和预处理。检测结果和所获取的数据被发送到中心站,在该中心站通过处理那些所获取的闪电数据来实现闪电位置。基于短时能量检测,本文描述了一种新型的自适应检测甚高频云内闪电信号的数字信号处理算法。该算法不断计算和更新背景噪声的长期统计数据。使用此噪声模型,可实现一组自适应阈值以检测雷电信号。本文描述的算法非常适合在数字信号处理硬件上进行实时实现。本文介绍了自适应算法的原理,提供了算法框图,并演示了其在290MHz频率下实际采集的VHF波段雷电数据的实现和性能。

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