• Chinese Journal of Lasers
  • Vol. 47, Issue 9, 904008 (2020)
Xu Kaiyuan1、2, Li Dahai1、*, Liu Ang2, Chai Liqun2, He Yuhang2, and Chen Ning2
Author Affiliations
  • 1College of Electronics and Information Engineering, Sichuan University, Chengdu, Sichuan 610065, China
  • 2Research Center of Laser Fusion, China Academy of Engineering Physics, Mianyang, Sichuan 621900, China
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    DOI: 10.3788/CJL202047.0904008 Cite this Article Set citation alerts
    Xu Kaiyuan, Li Dahai, Liu Ang, Chai Liqun, He Yuhang, Chen Ning. Filtering Method of Fixed Pattern Noise in Window Wavefront Based on Wavelet Transform[J]. Chinese Journal of Lasers, 2020, 47(9): 904008 Copy Citation Text show less
    Schematic diagram of PSI measurement of window transmission wavefront. (a) Cavity; (b) window information
    Fig. 1. Schematic diagram of PSI measurement of window transmission wavefront. (a) Cavity; (b) window information
    Path of test light in ideal window
    Fig. 2. Path of test light in ideal window
    Path of test light in non-ideal window
    Fig. 3. Path of test light in non-ideal window
    Noised transmitted wavefront of an ideal flat window. (a) Transmitted wavefront; (b) transmitted wavefront after multiple reflections; (c) spatial frequency spectrum of Fig.4(b); (d) enlarged view of the central area of Fig.4(c)
    Fig. 4. Noised transmitted wavefront of an ideal flat window. (a) Transmitted wavefront; (b) transmitted wavefront after multiple reflections; (c) spatial frequency spectrum of Fig.4(b); (d) enlarged view of the central area of Fig.4(c)
    Noised transmitted wavefront of a non-ideal window. (a) Transmitted wavefront; (b) transmitted wavefront after multiple reflections; (c) spatial frequency spectrum of Fig. 5(b); (d) enlarged view of the central area of Fig.5(c)
    Fig. 5. Noised transmitted wavefront of a non-ideal window. (a) Transmitted wavefront; (b) transmitted wavefront after multiple reflections; (c) spatial frequency spectrum of Fig. 5(b); (d) enlarged view of the central area of Fig.5(c)
    Wavefront distribution before and after noise reduction. (a) Ideal wavefront; (b) Fig.6(a) affected by fixed patterns; (c) Fig.6(b) after noise reduction; (d) actual wavefront; (e) Fig.6(d) affected by fixed patterns; (f) Fig.6(e) after noise reduction
    Fig. 6. Wavefront distribution before and after noise reduction. (a) Ideal wavefront; (b) Fig.6(a) affected by fixed patterns; (c) Fig.6(b) after noise reduction; (d) actual wavefront; (e) Fig.6(d) affected by fixed patterns; (f) Fig.6(e) after noise reduction
    Comparison of the 300th row of φw, φs and φj. (a) Ideal window; (b) actual window
    Fig. 7. Comparison of the 300th row of φw, φs and φj. (a) Ideal window; (b) actual window
    Window transmitted wavefront obtained by different methods. (a) Wavefront measured by LCPSI; (b) middle frequency components of Fig.8(a); (c) wavefront measured by PSI; (d) middle frequency components of Fig.8(c); (e) Fig.8(c) after noise reduction; (f) middle frequency components of Fig.8(e)
    Fig. 8. Window transmitted wavefront obtained by different methods. (a) Wavefront measured by LCPSI; (b) middle frequency components of Fig.8(a); (c) wavefront measured by PSI; (d) middle frequency components of Fig.8(c); (e) Fig.8(c) after noise reduction; (f) middle frequency components of Fig.8(e)
    No. of Fig. 6PVRMS
    Fig.6(a)00
    Fig.6(b)69.0624.46
    Fig.6(c)42.545.50
    Fig.6(d)175.5513.07
    Fig.6(e)209.2727.43
    Fig.6(f)165.9413.62
    Table 1. PV and RMS of different wavefronts unit:nm
    No. of Fig. 8PVRMS
    Fig.8(a)71.4913.00
    Fig.8(b)18.143.03
    Fig.8(c)66.2514.02
    Fig.8(d)29.035.04
    Fig.8(e)76.7713.39
    Fig.8(f)20.863.11
    Table 2. PV and RMS of the wavefront in Fig.8unit:nm
    Xu Kaiyuan, Li Dahai, Liu Ang, Chai Liqun, He Yuhang, Chen Ning. Filtering Method of Fixed Pattern Noise in Window Wavefront Based on Wavelet Transform[J]. Chinese Journal of Lasers, 2020, 47(9): 904008
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