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基于小波分析的1/f噪声降噪 被引量:10

1/f Noise Eliminating Based on Wavelet Analysis
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摘要 同传统加速度计相比,光纤加速度计具有结构简单、性价比高、输出精度较高等特点,可以满足中等精度的导航制导要求,但输出信号通常受随机噪声的干扰,其中1/f噪声就是影响光纤加速度计精度的一个重要因素。由于小波分析兼具时频分析和尺度分析的功能,加之1/f噪声在小波域呈现出某些特殊的性质,因此小波分析成为研究1/f噪声的良好工具。本文提出一种处理加速度信号中1/f噪声的新方法,即选取适当的阈值对1/f噪声进行滤波处理,仿真结果表明该方法科学有效。 Compared with traditional accelerometers, fiber-optic accelerometers have advantages of simple structure, high performance-to-price ratio, higher precision, etc. , so they can meet the demands of the medium-precision navigation and guidance. However, the output signals are usually disturbed by stochastic noises, and 1/f noise is one of them. It has poor effects on the precision of fiber-optic accelerometers. The wavelet analysis has two functions, time-frequency analysis and scale analysis. Additionally 1/f noise presents some characteristic properties in the wavelet domain, so wavelet analysis becomes a useful tool to study 1/f noise. This paper presents a new method for how to process 1/f noise in acceleration signals. The suitable thresholding is selected to filter the 1/f noise. Simulation results show that the method is effective.
出处 《数据采集与处理》 CSCD 北大核心 2006年第2期217-221,共5页 Journal of Data Acquisition and Processing
关键词 光纤加速度计 随机噪声 1/f噪声 小波变换 多分辨分析 软阈值 fiber-optic accelerometer stochastic noise 1/f noise wavelet transform multiresolution analysis soft-thresholding
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