摘要
实际工程中,被测信号往往被大量的背景噪声干扰所淹没,从而导致常规的信号检测和处理方法无能为力。利用随机共振理论,我们可以从强噪声背景中提取出弱信号信息。本文设计了一个基于ARM处理器的弱信号检测实验装置,仿真随机共振的双稳态环境,进行弱信号的检测处理。从实验结果的信噪比曲线来看,噪声得到明显抑制,弱信号得到加强而易于捕捉。这项工作为随机共振理论应用于实际工程现场的弱信号检测提供了基础。文中详细介绍了此系统中硬件的功能模块和软件的总体方案设计。
In the practical project, the signal detected is submerged sometimes by numerous background noises, so that normal detecting and disposing methods are useless. By using the principle of stochastic resonance （SR）, we can detect weak signals from strong noise background. To simulate the SR bistable system circumstance, testing equipment that based on ARM processor is designed to detect the signal. From the signal-to-noise ratio （SNR） curve of the experiment, the noise is suppressed obviously, and the week single is improved and easily to capture. This job provides a foundation for the practical applying on detecting weak signals. This paper has introduced the consisting modules of the hardware and software in detail.
出处
《电子测量技术》
2007年第3期50-52,105,共4页
Electronic Measurement Technology
