Improved Double Sigmoid Function Variable Step Size Adaptive Algorithm and Its Application in OCT

被引：0
|
作者：
Liu X.-S. [1 ]
Wu H.-M. [1 ]
Xiao W.-B. [1 ]
Sun X.-Y. [2 ]
Zhu J. [2 ]
机构：
[1] Jiangxi Engineering Laboratory for Optoelectronics Testing Technology, School of Measuring and Optical Engineering, Nanchang Hangkong University, Nanchang, 330063, Jiangxi
[2] Jiangxi Electric Power Design Institute, Nanchang, 330006, Jiangxi
来源：
Tien Tzu Hsueh Pao/Acta Electronica Sinica | 2019年 / 47卷 / 01期
关键词：
ActiveX; Double sigmoid function; Optical current transducer; Variable step size adaptive algorithm;
D O I：
10.3969/j.issn.0372-2112.2019.01.031
中图分类号：
学科分类号：
摘要：
In order to improve the measurement accuracy and long-term stability of OCT in low SNR(signal-noise ratio) environment, this paper starts from the algorithm that one of the key factors affects the performance of OCT. Basing on the analysis on existing variable step size adaptive algorithm, combining the characteristics of the output signal of OCT and the working circumstance of OCT, we proposed an improved double Sigmoid function variable step size adaptive algorithm, and compared this algorithm with the existing variable step size adaptive algorithm through simulation. Then, the algorithm is tested in OCT based on ActiveX. The results demonstrated the advantage of this algorithm in improving the measurement accuracy and long-term stability of OCT in low SNR environment. © 2019, Chinese Institute of Electronics. All right reserved.
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页码：234 / 240
页数：6
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共 15 条
  • [1] Li Y.-S., Ouyang J., Liu J., Et al., Analysis on noise of magneto-optical glass type optical current transformer based on Allan variance, Automation of Electric Power Systems, 39, 12, (2015)
  • [2] He H.-P., Liu J., Reserch on the improvement of OCT used in power system, Applied Mechanics and Materials, 2601, 385, pp. 995-998, (2013)
  • [3] Wang J.-Y., Guo Z.-Z., Zhang G.-Q., Et al., Experimental investigation on optical current transducer's long-term operation stability, Power System Technology, 36, 6, pp. 37-41, (2012)
  • [4] Abbas H., Huang H., Weight size determined variable step size LMS method for identifying under damped systems, Applied Mechanics and Materials, 3006, 511, pp. 238-241, (2014)
  • [5] Liu L., Wang Q., Bai H.-P., An improved variable step size LMS algorithm based on sigmoid function, Applied Mechanicsand Materials, 3365, 602, pp. 3593-3596, (2014)
  • [6] Chen Y., Tian J.-P., Liu Y.-P., New variable step size LMS adaptive filtering algorithm, Electronic Measurement Technology, 38, 4, pp. 27-31, (2015)
  • [7] Zhang H.-M., Han W.-G., A new variable step LMS algorithm and its application, Chinese Journal of Scientific Instrument, 36, 8, pp. 1822-1829, (2015)
  • [8] Tian F.-Q., Luo R., A nover variable step size LMS algorithm based on modified hyperbolic tangent and its simulation, Advanced Materials Research, 1700, 490, pp. 1423-1430, (2012)
  • [9] Ji Y., Shao H.-Z., A novel variable step size LMS adaptive filter algorithm and its simulation, Signal Processing, 26, 9, pp. 1385-1388, (2010)
  • [10] Tang J.-F., Zhang D.-Y., Luo X.-N., A new adaptive filtering algorithm based on muti-scale wavelet transform, Communications Technology, 41, 12, pp. 405-407, (2008)
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