• Acta Optica Sinica
  • Vol. 30, Issue 8, 2224 (2010)
Li Jialei1、*, Xu Hualong1, and He Jing2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • show less
    DOI: 10.3788/aos20103008.2224 Cite this Article Set citation alerts
    Li Jialei, Xu Hualong, He Jing. Research and Improvement of Denoising Method of Fiber Optic Gyroscope Based on Wavelet Packet Analysis[J]. Acta Optica Sinica, 2010, 30(8): 2224 Copy Citation Text show less

    Abstract

    After deterministic error compensation,various random noises become the main error sources of fiber optic gyro (FOG).To reduce the random errors of FOG,the denoising method based on wavelet packet filtering is studied,including the principle of wavelet packet filtering and the selection of threshold and thresholding operator,which is modified.The Allan variance method and power spectrum density (PSD) are adopted to analyze the random error characteristics before and after filtering,and the theoretical analysis of filtering effect can be realized.At last,simulation is carried out based on the drift data of FOG VG951,it is proved that the proposed method can decrease the random error of FOG effectively.
    Li Jialei, Xu Hualong, He Jing. Research and Improvement of Denoising Method of Fiber Optic Gyroscope Based on Wavelet Packet Analysis[J]. Acta Optica Sinica, 2010, 30(8): 2224
    Download Citation