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Research on the Recognition Method of Leaky Cable Intrusion Alarm Signal

机译:泄漏电缆入侵报警信号识别方法研究

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摘要

With the growing demand for security products, intrusion alarm system, based on leaky cables, is favored by majority of enterprises, with advantages of system stability, high concealment and installation location unlimited. Traditional intrusion detection method relies on signal amplitude threshold. However, this method is prone to produce false positives with complex environment interference and false negatives when the leaked electromagnetic field is weak. To solve this problem, this paper, by analyzing time and frequency domain features of the intrusion and interference signals, attempts to use a time-domain analysis method to recognize the intrusion signal. Then we research on how to establish the feature model of intrusion signal, and finally we propose an intrusion signal recognition algorithm based on similarity matching. Through identifying and verifying a large number of actual sample signals, results show that the similarity matching method can effectively reduce the false positives and false negatives, and improve the accuracy of alarm system.
机译:随着对安全产品的需求不断增长,基于泄漏电缆的入侵报警系统受到大多数企业的青睐,具有系统稳定性的优势,绝密和安装位置无限制。传统的入侵检测方法依赖于信号幅度阈值。然而,当泄漏的电磁场弱时,这种方法容易产生具有复杂环境干扰和假阴性的假阳性。为了解决这个问题,本文通过分析入侵和干扰信号的时间和频域特征,试图使用时域分析方法来识别入侵信号。然后我们研究如何建立入侵信号的特征模型,最后我们提出了一种基于相似性匹配的入侵信号识别算法。通过识别和验证大量实际样本信号,结果表明相似性匹配方法可以有效地降低误报和假否定,提高报警系统的准确性。

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