强噪声背景下微弱信号检测与处理方法研究

发布时间：2018-05-03 23:07

本文选题：强噪声背景 + 微弱信号　；参考：《内蒙古科技大学》2014年硕士论文

【摘要】：“微弱信号”不仅意味着信号的幅度很小，而且主要指的是被噪声淹没的信号，“微弱”是相对于噪声而言的。强噪声背景下微弱信号检测一直是工程应用领域的难题之一。微弱信号检测的首要任务是提高信噪比，以便从强噪声背景中检测出有用的微弱信号，从而满足现代科学研究和技术应用的需要。所以，对微弱信号检测技术进行研究具有重要的理论和现实意义。本课题来源于内蒙古自治区自然科学基金项目“强噪声背景下微弱信号检测与提取技术研究”，以强噪声背景下微弱信号的检测为出发点，系统地研究了随机共振的理论和方法。在基于调制随机共振的微弱信号检测与处理硬件电路设计中，本课题采用Analog Devices公司生产的AD734四象限模拟乘法器芯片来设计调制电路，以实现信号的混频和系统的随机共振，从而实现了对大频率信号的检测。本论文的内容包括以下几个方面：①介绍了微弱信号的检测和处理方法以及国内外的研究现状，重点阐述了随机共振非线性理论的历史、现状和发展；②深入研究了非线性系统的随机共振现象，详细研究了系统结构参数与势垒及随机共振的关系，并分析了噪声、信号和非线性随机共振系统之间的关系以及随机共振产生的条件；③通过对随机共振系统的分析，提出了调制随机共振方法，使用信号调制的方法可实现对大频率信号的检测。结合随机共振方法与混沌理论方法的各自优缺点，将两种方法结合起来用于微弱信号的检测；④根据仿真结果设计了调制随机共振系统电路，介绍了调制电路和随机共振电路的结构及原理，根据设计方案搭建了调制随机共振检测电路。本课题以随机共振理论为基础，研究了强噪声背景下的微弱信号检测与处理方法，根据随机共振的理论模型搭建了硬件电路，并对电路进行了分析测试，实验表明该系统达到了预期目标，为随机共振理论应用于工程实际提供了实现方案。
[Abstract]:"weak signal" means not only that the amplitude of signal is very small, but also that the signal is submerged by noise, and that "weak" is relative to noise. Weak signal detection under strong noise background has been one of the difficult problems in engineering application field. The primary task of weak signal detection is to improve signal-to-noise ratio (SNR) so as to detect useful weak signals from strong noise background and meet the needs of modern scientific research and technical application. Therefore, the research of weak signal detection technology has important theoretical and practical significance. This topic comes from Inner Mongolia Autonomous region Natural Science Foundation project "Research on weak signal Detection and extraction Technology in strong noise background", which is based on weak signal detection in strong noise background. The theory and method of stochastic resonance are studied systematically. In the hardware circuit design of weak signal detection and processing based on modulation stochastic resonance, the AD734 four-quadrant analog multiplier chip produced by Analog Devices Company is used to design the modulation circuit, so as to realize the mixing of signals and the stochastic resonance of the system. Thus, the detection of large frequency signals is realized. The content of this paper includes the following aspects: 1 introduces the weak signal detection and processing methods and the research status at home and abroad, focusing on the history, status and development of stochastic resonance nonlinear theory; (2) the stochastic resonance phenomenon of nonlinear system is studied in depth, the relationship between system structure parameters and barrier and stochastic resonance is studied in detail, and the noise is analyzed. The relationship between signal and nonlinear Stochastic Resonance system and the condition of Stochastic Resonance Generation through the analysis of the stochastic resonance system, a modulation stochastic resonance method is proposed. The signal modulation method can be used to detect large frequency signals. Combining the advantages and disadvantages of stochastic resonance method and chaos theory method, the circuit of modulated stochastic resonance system is designed according to the simulation results. The structure and principle of modulation circuit and stochastic resonance circuit are introduced. Based on the stochastic resonance theory, the weak signal detection and processing method in strong noise background is studied in this paper. According to the theoretical model of stochastic resonance, the hardware circuit is built, and the circuit is analyzed and tested. The experimental results show that the system achieves the desired goal and provides a scheme for the application of stochastic resonance theory in engineering practice.
【学位授予单位】：内蒙古科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN911.23

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