基于双稳随机共振系统的反馈自适应微弱信号提取理论及技术

项目名称： 基于双稳随机共振系统的反馈自适应微弱信号提取理论及技术

项目编号： No.61271011

项目类型： 面上项目

立项/批准年度： 2013

项目学科： 无线电电子学、电信技术

项目作者： 付卫红

作者单位： 天津工业大学

项目金额： 46万元

中文摘要： 本项目提出基于双稳态系统的参数自适应随机共振理论及技术，用于智能化检测微弱信号。此课题正成为弱信号检测的重要发展方向之一，但此方向存在只针对噪声，未形成完整参数自适应系统的问题。我们利用已建立多信号并行处理技术可以数倍的提高处理信号的效率；级联系统信号处理技术，可以显著提高提取信号的质量，明显降低误码率。融合自适应理论与随机共振理论，设计随机共振弱信号自动检测系统。重点着重于整个系统的自适应理论与设计，特别是系统参数的自适应配合以前置滤波器的自适应。前者可以针对被测信号自动调整参数建立通道，后者实现信号处理前的前置过滤，形成完整反馈。这样既降低系统处理信号的负担，又进一步提高了提取信号的质量，这是本系统中一个实用创新点。我们将此技术用于已有的多信号级联系统，实现弱信号的高效、优质和智能化的检测提取。课题组具备扎实的工作基础和良好的工作条件，课题具有广阔的应用前景，我们有信心出色的完成课题。

中文关键词： 随机共振；参数自适应；信号处理；反馈系统；微弱信号

英文摘要： This project, based on the theory and technology of stochastic resonance parameter self-adaption in bistable system, is used for intelligentized detection of weak signal. This subject has become one of the most important weak signal developing direction, and now the problem in this direction is that the stochastic resonance fails to form sound parameter adaptive system. We improve the signal processing efficiency by several times, using multiple signals prarallel processing technology we built. The cascaded-bistable stochastic resonance system in signal processing can enhance signal quality dramatically, decrease error rate obviously. We combine adaptive theory with stochastic resonance theory to design the stochastic resonance weak signal automatic detection system. The key point focus on the adaptive theory and design for the entire system, especially on the cooperation between system parameter adaptive and lead filter adaptive. They are the whole feedback system. The former, according to measured signal, adjusts the system parameter, sets up signal channel automatically. While the latter achieves pre-filtering before signal processing. It is a valuable innovation point in our sytem that the feedback not only reduces the system burden when we process signal, but also increases the reliability of the signal qu

英文关键词： stochastic resonance；Parameter self-adaption；signal processing；feedback system；weak signal