光寻址电位传感器的噪声分析与信号处理方法研究

陈东; 刘诗斌; 殷世民; 梁晋涛

doi:10.3788/OPE.20162406.1456

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光寻址电位传感器的噪声分析与信号处理方法研究

信息科学 | 更新时间：2020-08-13

- 光寻址电位传感器的噪声分析与信号处理方法研究
- Research on noise analysis and signal processing method of light addressable potentiometric sensor
- 光学精密工程 2016年24卷第6期页码：1456-1464
- 作者机构：
  
  1. 桂林电子科技大学生命与环境科学学院,广西桂林,541004
  2. 西北工业大学电子信息学院,陕西西安,710072
  3. 西安邮电大学电子工程学院,陕西西安,710121
  4. 广西自动检测技术与仪器重点实验室,广西桂林,541004
  5. 广西信息科学实验中心,广西桂林,541004
- 作者简介：
- 基金信息：
  
  国家自然科学基金（No.61265006）();广西自动检测技术与仪器重点实验室基金项目（No.YQ15113）()
- DOI：10.3788/OPE.20162406.1456
  中图分类号： TN911.4;TP212.3
- 收稿日期：2016-02-01，
  
  修回日期：2016-04-08，
  
  纸质出版日期：2016-06-25
- 稿件说明：
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陈东, 刘诗斌, 殷世民等. 光寻址电位传感器的噪声分析与信号处理方法研究[J]. 光学精密工程, 2016,24(6): 1456-1464

CHEN Dong, LIU Shi-bin, YIN Shi-min etc. Research on noise analysis and signal processing method of light addressable potentiometric sensor[J]. Editorial Office of Optics and Precision Engineering, 2016,24(6): 1456-1464
陈东, 刘诗斌, 殷世民等. 光寻址电位传感器的噪声分析与信号处理方法研究[J]. 光学精密工程, 2016,24(6): 1456-1464 DOI： 10.3788/OPE.20162406.1456.

CHEN Dong, LIU Shi-bin, YIN Shi-min etc. Research on noise analysis and signal processing method of light addressable potentiometric sensor[J]. Editorial Office of Optics and Precision Engineering, 2016,24(6): 1456-1464 DOI： 10.3788/OPE.20162406.1456.

摘要

鉴于光寻址电位传感器（LAPS）的响应信号较弱，传统的抽取频域基波分量的方法易受信号漂移和随机噪声的影响，提出了一种基于频域分量均方根和卡尔曼滤波的两步信号处理方法。基于光寻址电位传感器件的理论模型构建了其等效电路模型，推导得到输出信号的表达式，分析了漂移与噪声产生的原因及其抑制方法。通过实验检测了不同pH值的溶液，并采集了系统输出的光电流信号。求取信号傅里叶变换后频域中的基波分量、二次谐波分量、三次谐波分量的谱线幅值的均方根，然后对归一化电流-偏压（I-V）特性曲线进行卡尔曼滤波。实验结果表明，相对于单纯抽取基波分量的方法，基于频域分量均方根和卡尔曼滤波的两步信号处理方法使检测结果的均方差（MSE）降低了97%，显著减少了信号漂移和随机噪声对检测结果的影响。

Abstract

Considering that the response signal of light addressable potentiometric sensor (LAPS) is quite week and the traditional method for extraction of fundamental component of frequency domain is easily impacted by signal drift and stochastic noise

a kind of two-step signal processing method based on the mean square root of component of frequency domain and Kalman filtering was proposed. Based on the theoretical model of devices of light addressable potentiometric sensor

the equivalent circuit model was established; the expression of output signal was deduced

and the causes of drifting and noise as well as inhibition methods were analyzed. Through tests

the solutes with different pH values were detected

and the photocurrent signal outputted by systems was collected. The mean square roots of breadth value of spectral line of fundamental component

second harmonic component and third harmonic component in the frequency domain after Fourier transformation were calculated. Then

the Kalman filtering was implemented for characteristic curve of normalized current-bias (I-V). The experimental results indicate that the two-step signal processing method based on the mean square root of component of frequency domain and Kalman filtering makes the mean square error (MSE) of testing result reduced by 97%

and the influences of signal drift and stochastic noise on testing result are obviously decreased compared to the simple method to extraction of fundamental component.

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Keywords

references

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