本文關(guān)鍵詞：提升光學(xué)電場(chǎng)傳感系統(tǒng)信噪比的研究　出處：《電子科技大學(xué)》2015年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 光學(xué)傳感系統(tǒng) DSP系統(tǒng) LabVIEW系統(tǒng) 信號(hào)處理算法

【摘要】：近年來(lái),集成光波導(dǎo)電光調(diào)制器發(fā)展非常迅速,由此同時(shí),提升了與之相關(guān)的集成光波導(dǎo)電場(chǎng)傳感器的應(yīng)用范圍與實(shí)用程度。但是,由于使用的電磁測(cè)量硬件一般都是金屬器件,會(huì)對(duì)測(cè)量有干擾,存在一定的噪聲,最終造成的結(jié)果便是數(shù)據(jù)不準(zhǔn)確。如果需要對(duì)數(shù)據(jù)進(jìn)行進(jìn)一步的探究,則需要對(duì)采集到的信號(hào)進(jìn)行降噪處理。本文就以去噪為重點(diǎn),分別設(shè)計(jì)了兩套方案。對(duì)信號(hào)進(jìn)行降噪有很多種方法,當(dāng)然每種方法適用的范圍不同,需要根據(jù)信號(hào)的自身特征來(lái)選擇相對(duì)應(yīng)的信號(hào)處理方法進(jìn)行降噪處理,針對(duì)傳感系統(tǒng)探測(cè)到的高壓脈沖信號(hào),本文中選擇的是小波變換去噪與滑動(dòng)平均值去噪。為了處理高壓脈沖信號(hào),選定小波變換,可以實(shí)現(xiàn)低頻處頻率細(xì)分,高頻處時(shí)間細(xì)分,以及平均值的平滑作用。經(jīng)過(guò)建立仿真,計(jì)算數(shù)據(jù),進(jìn)行實(shí)驗(yàn),得到了較好的降噪效果。本文的主要內(nèi)容為:(1)在MATLAB與VC6.0環(huán)境下,進(jìn)行了小波變換與滑動(dòng)平均值算法仿真,采用不同的參數(shù)得到不同的結(jié)果,觀察并計(jì)算了各自提升的信噪比。(2)在LabVIEW軟件環(huán)境下,采用不同的參數(shù)進(jìn)行了小波變換與滑動(dòng)平均值算法仿真,并對(duì)得到的結(jié)果進(jìn)行計(jì)算。(3)設(shè)計(jì)DSP采集與處理系統(tǒng),對(duì)光學(xué)傳感系統(tǒng)輸出的電壓信號(hào)進(jìn)行采集,采集之后利用之前的仿真算法進(jìn)行處理并輸出,進(jìn)行實(shí)驗(yàn)分析。(4)設(shè)計(jì)LabVIEW系統(tǒng),對(duì)光學(xué)傳感系統(tǒng)輸出到示波器中的數(shù)據(jù)進(jìn)行采集,并且使用之前的仿真算法進(jìn)行處理,輸出觀察,并且進(jìn)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.
【學(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：TN256;TP212

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本文編號(hào)：1375153