Reseach On Improving Signal-To-Noise Of Optical Electric Field Sensor System

In recent years, integrated optical waveguide electro-optic modulator is developing very quickly, which promoted the related integrated optical waveguide electric field sensor’s range of application and practical level at the same time. However, electromagnetic measurement is usually metal hardware devices, which will lead to measurement interference and noise, finilly, the result is inaccurate. If the data need further inquiry, signal noise reduction processing is need. In this paper, two sets of scheme is designed for denoising.There are many kinds of methods for signal de-noising, different method applicable scope is different. It need to choose corresponding signal processing method for noise reduction processing according to the own characteristics of the signal. In this paper wavelet transform denoising and sliding average denoising is selected in view of the high voltage pulse signal sensing system. Wavelet transform can realize frequency resolution at low frequency and temporal resolution at high frequency. Average algorithm can achieve a smooth function. After building simulation, data calculation, experiment obtained good noise reduction effect.The main content of this article,(1) The wavelet transform and moving average algorithm simulation is carried on, using different parameters, has different results in the matlab and VC6.0. Then calculate the ascension of signal-to-noise.(2) Under the environment of LabVIEW software, the wavelet transform and moving average algorithm simulation, using different parameters, get different results.(3) Design DSP of acquisition and processing system for optical sensing system output voltage signal, using previous simulation algorithm for processing and output after acquisition, then experimental analysis.(4) Design LabVIEW system to collect data in the system of optical sensor output to the oscilloscope, using the simulation algorithm for processing, and carries on the analysis.