论文标题
超低频率校准的数字信号处理功能
Digital signal processing functions for ultra-low frequency calibrations
论文作者
论文摘要
行业对准确的加速度测量的需求降低到较低的频率,并且随着噪音的较低频率的需求正在增加。今天使用不同的振动传感器,用于该区域内的许多不同目的,例如检测和警告地震,检测核试验以及对环境的监测。为了产生值得信赖的结果并相应地为Si-System提供可追溯性,必须校准用于此类目的的加速度计。为了使这些校准是可行的,需要合适的超低噪声加速度计和/或信号处理功能。在这里,我们提出了两个数字信号处理(DSP)函数,旨在测量校准系统中的超低加速度。 DSP函数对来自两个加速度计的信号进行双通道信号分析,测量相同的信号并使用两个信号之间的相干性来减少噪声。模拟表明,两个DSP功能比标准分析更好地估计校准信号。此处介绍的结果旨在用于加速度计校准系统的关键比较研究,并可能有助于将频率范围扩展到约10MHz左右的超低频率。
The demand from industry to produce accurate acceleration measurements down to ever lower frequencies and with ever lower noise is increasing. Different vibration transducers are used today for many different purposes within this area, like detection and warning for earthquakes, detection of nuclear testing, and monitoring of the environment. Accelerometers for such purposes must be calibrated in order to yield trustworthy results and provide traceability to the SI-system accordingly. For these calibrations to be feasible, suitable ultra low-noise accelerometers and/or signal processing functions are needed. Here we present two digital signal processing (DSP) functions designed to measure ultra low-noise acceleration in calibration systems. The DSP functions use dual channel signal analysis on signals from two accelerometers measuring the same signal and use the coherence between the two signals to reduce noise. Simulations show that the two DSP functions are estimating calibration signals better than the standard analysis. The results presented here are intended to be used in key comparison studies of accelerometer calibration systems, and may help extend frequency range down to ultra-low frequencies of around 10mHz.