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提升光学电场传感系统信噪比的研究

发布时间:2018-01-03 19:00

  本文关键词:提升光学电场传感系统信噪比的研究 出处:《电子科技大学》2015年硕士论文 论文类型:学位论文


  更多相关文章: 光学传感系统 DSP系统 LabVIEW系统 信号处理算法


【摘要】:近年来,集成光波导电光调制器发展非常迅速,由此同时,提升了与之相关的集成光波导电场传感器的应用范围与实用程度。但是,由于使用的电磁测量硬件一般都是金属器件,会对测量有干扰,存在一定的噪声,最终造成的结果便是数据不准确。如果需要对数据进行进一步的探究,则需要对采集到的信号进行降噪处理。本文就以去噪为重点,分别设计了两套方案。对信号进行降噪有很多种方法,当然每种方法适用的范围不同,需要根据信号的自身特征来选择相对应的信号处理方法进行降噪处理,针对传感系统探测到的高压脉冲信号,本文中选择的是小波变换去噪与滑动平均值去噪。为了处理高压脉冲信号,选定小波变换,可以实现低频处频率细分,高频处时间细分,以及平均值的平滑作用。经过建立仿真,计算数据,进行实验,得到了较好的降噪效果。本文的主要内容为:(1)在MATLAB与VC6.0环境下,进行了小波变换与滑动平均值算法仿真,采用不同的参数得到不同的结果,观察并计算了各自提升的信噪比。(2)在LabVIEW软件环境下,采用不同的参数进行了小波变换与滑动平均值算法仿真,并对得到的结果进行计算。(3)设计DSP采集与处理系统,对光学传感系统输出的电压信号进行采集,采集之后利用之前的仿真算法进行处理并输出,进行实验分析。(4)设计LabVIEW系统,对光学传感系统输出到示波器中的数据进行采集,并且使用之前的仿真算法进行处理,输出观察,并且进行分析。
[Abstract]:In recent years, the integrated light wave conductive light modulator is developing very quickly, which improves the application scope and the practical degree of the integrated light wave conductive field sensor. As the electromagnetic measurement hardware is usually metal devices, there will be interference to the measurement, there is a certain amount of noise, the final result is that the data is inaccurate. If the data need to be further explored. In this paper, we have designed two sets of schemes respectively. There are many methods for signal de-noising, of course, the scope of each method is different. It is necessary to select the corresponding signal processing method according to the characteristics of the signal to reduce the noise, aiming at the high voltage pulse signal detected by the sensor system. In this paper, wavelet transform denoising and moving average de-noising are selected. In order to deal with high voltage pulse signal, wavelet transform is selected to realize frequency subdivision at low frequency and time subdivision at high frequency. And the smoothing effect of the average value. Through establishing the simulation, calculating the data and carrying on the experiment, got the better noise reduction effect. The main content of this paper is: 1) under the environment of MATLAB and VC6.0. The wavelet transform and the moving average algorithm are simulated. Different parameters are used to get different results. The improved SNR is observed and calculated under the LabVIEW software environment. The wavelet transform and moving average algorithm are simulated with different parameters, and the results are calculated. 3) the DSP acquisition and processing system is designed. The output voltage signal of the optical sensing system is collected, then processed and output by the previous simulation algorithm, and the LabVIEW system is designed by experiment analysis. The data output from the optical sensing system to the oscilloscope is collected and processed by using the previous simulation algorithm, the output observation is carried out, and the analysis is carried out.
【学位授予单位】:电子科技大学
【学位级别】:硕士
【学位授予年份】:2015
【分类号】:TN256;TP212

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