• DocumentCode
    3572393
  • Title

    Extracting correct parameters from saturated sinusoidal signal with noises in electro-magnetic coupling system

  • Author

    Zhongqing Feng ; Chao Hu ; Yupeng Ren ; Yonghui Wang ; Xiaoying Yuan

  • Author_Institution
    Taiyuan Univ. of Sci. & Technol., Taiyuan, China
  • fYear
    2014
  • Firstpage
    549
  • Lastpage
    552
  • Abstract
    In this paper, the extraction for noised saturated sinusoidal signal is proposed for the electro-magnetic coupling sensing system. The method is based on the Least Squares fitting Method to extract the signal amplitude and phase from the saturated sinusoidal signal. According to the extracted amplitude and phase, we can get a sinusoidal signal and remove the sample with large error by comparing it with the original signal. Then, LSM is applied again with the new group of data to compute the amplitude and phase. This is iterated until the signal meets the error conditions. The method is evaluated by the simulation, which is also applied to the data acquired from the real electro-magnetic coupling system. The results show that if there are enough samples, the method can extract the correct sinusoidal signal with satisfactory accuracy and velocity. This provides the foundation to accurately extract the signal with the saturated sinusoidal signals with large noises, so that the measurement range of the electromagnetic coupling system is enlarged significantly.
  • Keywords
    electromagnetic coupling; least squares approximations; signal processing; LSM; electromagnetic coupling sensing system; least squares fitting method; saturated sinusoidal signal; Abstracts; Automation; Couplings; Educational institutions; Intelligent control; MATLAB; Noise; Electro-magnetic coupling; Saturated sinusoidal signal with noise; Signal Extraction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation (WCICA), 2014 11th World Congress on
  • Type

    conf

  • DOI
    10.1109/WCICA.2014.7052772
  • Filename
    7052772