信号处理中的电磁干扰抑制方法研究

发布时间：2018-05-08 12:15

本文选题：信号处理 + 电磁干扰　；参考：《东北大学》2014年硕士论文

【摘要】：随着科技的快速发展,越来越多的电子设备已被广泛地应用到科研、生产和日常生活中。随之而来的电磁干扰(EMI)问题也就越来越复杂,人们对周围电磁环境的担心也日益增加。为此,世界各国尤其重视EMI问题,特别是信号处理中的EMI问题。以前的研究更多地集中在相关硬件设备和电路的创新设计中,而近年来随着现代信号处理技术的快速发展,人们开始着重将现代信号处理技术应用到电磁干扰抑制这一问题中来。鉴于在工业应用现场,硬件设备电磁干扰抑制性能并不能达到理论分析中的精准度,导致EMI不能得到有效控制。因此,本文对信号处理中的电磁干扰抑制方法进行了分析研究,通过分析现场EMI问题,提出了有针对性的电磁干扰抑制方法,以实现软件方面对EMI问题的有效抑制。本文主要做了五个方面的工作：第一,对EMI问题的背景和国内外研究现状做了简要介绍,阐述了现有的信号处理技术在EMI抑制方面的应用研究情况；第二,利用STFT方法得到现场EMI信号特征,并利用DCFMN神经网络对EMI信号进行分类处理；第三,针对不同类型的EMI问题分别提出不同的抑制方法,有效地提高了对电磁干扰的抑制效率和准确度,同时也降低了抑制电磁干扰的盲目性,并通过实验和仿真验证了这些抑制方法运用的有效性;第四,对本文提出的电磁干扰抑制方法进行了现场应用,并对现场应用情况做了分析探究,进一步验证了本文所提理论的实用性和可行性；第五,总结本文所做工作并指出本研究中尚存在的不足之处和需改进的目标。
[Abstract]:With the rapid development of science and technology, more and more electronic devices have been widely used in scientific research, production and daily life. The problem of EMI (electromagnetic interference) becomes more and more complicated, and people worry about the surrounding electromagnetic environment day by day. Therefore, countries all over the world pay special attention to the EMI problem, especially the EMI problem in signal processing. Previous research has focused more on the innovative design of related hardware devices and circuits, but in recent years, with the rapid development of modern signal processing technology, People begin to apply modern signal processing technology to the problem of electromagnetic interference suppression. In the industrial application field, the EMI suppression performance of hardware equipment can not reach the accuracy of theoretical analysis, which leads to the EMI can not be effectively controlled. Therefore, in this paper, the electromagnetic interference suppression method in signal processing is analyzed and studied. By analyzing the field EMI problem, a targeted electromagnetic interference suppression method is proposed to effectively suppress the EMI problem in software. This paper mainly does five aspects of the work: first, the background of the EMI problem and domestic and foreign research status quo is briefly introduced, the existing signal processing technology in the application of EMI suppression research; second, The field EMI signal features are obtained by STFT method, and the EMI signals are classified by DCFMN neural network. Thirdly, different suppression methods are proposed for different types of EMI problems. The efficiency and accuracy of EMI suppression are improved effectively, and the blindness of EMI suppression is reduced. The effectiveness of these suppression methods is verified by experiments and simulations. The electromagnetic interference suppression method proposed in this paper is applied in the field, and the situation of the field application is analyzed and explored, which further verifies the practicability and feasibility of the theory proposed in this paper. This paper summarizes the work done in this paper and points out the shortcomings of this study and the goals to be improved.
【学位授予单位】：东北大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN911.7

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