Volume 49 Issue 2
Mar.  2020
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Han Fei, Liu Hengjia, Sun Dongsong, Han Yuli, Zhang Nannan, Chu Jiaqi, Zhou Anran, Jiang Shan, Wang Yuanzu, Zheng Jun. Design and analysis of uitra-narrow filter of Rayleigh lidar[J]. Infrared and Laser Engineering, 2020, 49(2): 0205003-0205003. doi: 10.3788/IRLA202049.0205003
Citation: Han Fei, Liu Hengjia, Sun Dongsong, Han Yuli, Zhang Nannan, Chu Jiaqi, Zhou Anran, Jiang Shan, Wang Yuanzu, Zheng Jun. Design and analysis of uitra-narrow filter of Rayleigh lidar[J]. Infrared and Laser Engineering, 2020, 49(2): 0205003-0205003. doi: 10.3788/IRLA202049.0205003

Design and analysis of uitra-narrow filter of Rayleigh lidar

doi: 10.3788/IRLA202049.0205003
  • Received Date: 2019-10-11
  • Rev Recd Date: 2019-11-04
  • Publish Date: 2020-03-02
  • The solar background radiation seriously reduces the signal to noise ratio of the lidar detection, and affects the detection height and accuracy of lidar system during the daytime. In order to obtain the relevant parameters of the middle atmosphere all time, an ultra-narrow band filter used on all time detection was developed in 355 nm wavelength of laser. First of all, an ultra-narrow band filter was designed on all time observation with the character that the band of a single pass rate curve of FPI was very narrow. Then, the approximate transmission function of the ultra-narrow band filter was infered, the performance evaluation function was defined, and the design method was given. With the performance evaluation function, the main parameters of the ultra-narrow band filter were optimized and the parameters of each optical component were given. The signal-to-noise ratio of the ultra-narrow band filter was increased 50 times than the 0.15 nm interference filter. Finally, the transmission rate curves of each optical component and cascaded etalon system were calibrated through experiment. The fitting curve shows good consistency with the experimental data.
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    [2] Mckay J A. Modeling of direct detection Doppler wind lidar. I. The edge technique[J]. Applied Optics, 1998, 37(27):6480-6486.
    [3] Rees D, Vyssogorets M, Meredith N P, et al. The Doppler wind and temperature system of the Alomar lidar facility:Overview and initial results[J]. Journal of Atmospheric and Terrestrial Physics, 1996, 58(16):1827-1842.
    [4] Wu Songhua, Song Xiaoquan, Liu Bingyi. Fraunhofer lidar prototype in the green spectral region for atmospheric boundary layer Observations[J]. Remote Sensing, 2013, 5(10):6079-6095.
    [5] Dou X K, Han Y L, Sun D S, et al. Mobile Rayleigh Doppler Lidar for wind and temperature measurements in the stratosphere and lower mesosphere[J]. Optics Express, 2014, 22(17):A1203-A1221.
    [6] Zheng Jun, Sun Dongsong, Chen Tingdi, et al. Scanning Rayleigh Doppler lidar for wind profiling based on non-polarized beam splitter cube optically contacted FPI[J]. Current Optics and Photonics, 2018, 2(2):195-202.
    [7] Atherton P D, Reay N K, Ring J, et al. Tunable Fabry-Perot filters[J]. Optical Engineering, 1981, 20(6):806-814.
    [8] Korb C L, Gentry B M, Weng C Y. Edge technique:theory and application to the lidar measurement of atmospheric wind[J]. Applied Optics, 1992, 31(21):4202-4213.
    [9] Macleod H A. Thin-film Optical Filters[M]. US:McGraw-Holl, 1989.
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Design and analysis of uitra-narrow filter of Rayleigh lidar

doi: 10.3788/IRLA202049.0205003
  • 1. School of Earth and Space Science, University of Science and Technology of China, Hefei 230031, China;
  • 2. School of Physics and Material Engineering, Hefei Normal University, Hefei 230031, China

Abstract: The solar background radiation seriously reduces the signal to noise ratio of the lidar detection, and affects the detection height and accuracy of lidar system during the daytime. In order to obtain the relevant parameters of the middle atmosphere all time, an ultra-narrow band filter used on all time detection was developed in 355 nm wavelength of laser. First of all, an ultra-narrow band filter was designed on all time observation with the character that the band of a single pass rate curve of FPI was very narrow. Then, the approximate transmission function of the ultra-narrow band filter was infered, the performance evaluation function was defined, and the design method was given. With the performance evaluation function, the main parameters of the ultra-narrow band filter were optimized and the parameters of each optical component were given. The signal-to-noise ratio of the ultra-narrow band filter was increased 50 times than the 0.15 nm interference filter. Finally, the transmission rate curves of each optical component and cascaded etalon system were calibrated through experiment. The fitting curve shows good consistency with the experimental data.

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