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活动态高速数字设备泄漏电磁波检测研究与系统实现

发布时间:2018-10-21 18:14
【摘要】:数字设备工作时会向外界辐射微弱电磁波信号,虽然微弱,但是依然可能会对国防与信息安全造成威胁。因此,研究高速数字设备的检测方法、设计与搭建检测平台变得十分重要。随着大规模集成电路的技术发展,芯片的体积越来越小、功耗越来越低,造成芯片向外界辐射的电磁波能量相应减弱;同时电磁兼容与防电磁辐射技术的不断提高,一定程度上又削弱了数字系统向外界辐射的电磁波信号,以上两种因素使得数字设备泄漏电磁波能量强度降低,给传统的数字设备泄漏信号的检测带来了困难。本文以活动态高速数字设备泄漏电磁波为研究对象,重点研究此类设备泄漏电磁波的检测方法,同时也设计和制作检测仪器。完成的主要工作包括:测试了系列化高速数字设备样品,验证了绝大多数高速数字设备在工作时会向外界发射电磁波信号。在硬件方面,设计了超外差式扫描变频模块、数据采集模块、基于FPGA的数据预处理模块和系统控制模块。超外差式扫描变频模块采用混频方法,将目标宽频频带转换到固定的中频频带,便于后续的硬件电路处理;数据预处理模块利用FPGA并行计算能力,把模数转换后的数据进行预处理,为后续的PC软件端处理数据节省时间。软件方面,基于QT(一种基于C++的跨平台图形用户界面应用程序)架构编写了基于层次网格的K-means聚类识别模块、识别结果与实时频谱二维图谱显示模块和系统控制功能模块;对于未知先验知识的数字设备,聚类识别模块能快速提取各个频段特征信息,通过与背景信息对比,达到识别目的;二维频谱图显示模块能同时实时地显示目标频谱与识别结果信息;系统控制模块即实现软件客户端程序正常运行,又与FPGA采集板保持同步状态。最后,设计和搭建了测试系统,对不同参数的系列化高速数字设备样品进行了测试,实测结果表明,可对活动态数字设备泄漏的电磁波进行有效检测,证明了系统的有效性。
[Abstract]:Digital devices radiate weak electromagnetic signals to the outside world when they work. Although they are weak, they may still pose a threat to national defense and information security. Therefore, it is very important to study the detection method of high-speed digital equipment and to design and build the detection platform. With the development of LSI technology, the size of the chip becomes smaller and smaller, and the power consumption becomes lower and lower, which results in the weakening of the electromagnetic wave energy emitted by the chip to the outside world. At the same time, the technology of electromagnetic compatibility and protection against electromagnetic radiation has been improved. To some extent, it weakens the electromagnetic wave signal radiating from digital system to the outside world. The above two factors reduce the energy intensity of digital equipment leakage electromagnetic wave, and bring difficulties to the detection of traditional digital equipment leakage signal. In this paper, the leakage electromagnetic wave of dynamic high-speed digital equipment is taken as the research object, the detection method of leakage electromagnetic wave of this kind of equipment is studied emphatically, and the detecting instrument is also designed and made. The main works are as follows: the series of high-speed digital equipment samples are tested and it is verified that most high-speed digital devices emit electromagnetic wave signals to the outside world. In the hardware aspect, the superheterodyne scanning frequency conversion module, the data acquisition module, the data preprocessing module based on FPGA and the system control module are designed. The superheterodyne scanning frequency conversion module uses mixing method to convert the target wide frequency band to a fixed medium frequency band, which is convenient for subsequent hardware circuit processing, and the data preprocessing module utilizes the parallel computing ability of FPGA. The data after analog-to-digital conversion are preprocessed to save time for the subsequent PC software to process the data. In software aspect, based on QT (a cross-platform graphical user interface application program based on C), the K-means cluster recognition module based on hierarchical grid is developed, the recognition result and real-time spectrum two-dimensional display module and system control function module; For the digital equipment with unknown prior knowledge, the cluster recognition module can quickly extract the feature information of each frequency band and achieve the purpose of recognition by comparing with the background information. The two-dimensional spectrum display module can simultaneously display the target spectrum and the recognition result information in real time, and the system control module not only realizes the software client program running normally, but also keeps synchronization with the FPGA acquisition board. Finally, the test system is designed and built, and the series of high-speed digital equipment samples with different parameters are tested. The measured results show that the electromagnetic wave leakage from the dynamic digital equipment can be effectively detected, and the effectiveness of the system is proved.
【学位授予单位】:华中科技大学
【学位级别】:硕士
【学位授予年份】:2015
【分类号】:O441.4;TP274

【参考文献】

相关期刊论文 前10条

1 李彩华;滕云田;张e,

本文编号:2285941


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