• Acta Optica Sinica
  • Vol. 45, Issue 6, 0601004 (2025)
Yupeng Chang1, Haodong Qiu2, Ning Xu1, Zheng Kong2, and Liang Mei2,*
Author Affiliations
  • 1DUT-BSU Joint Institute, Dalian University of Technology, Dalian 116024, Liaoning , China
  • 2School of Optoelectronic Engineering and Instrumentation Science, Dalian University of Technology, Dalian 116024, Liaoning , China
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    DOI: 10.3788/AOS241243 Cite this Article Set citation alerts
    Yupeng Chang, Haodong Qiu, Ning Xu, Zheng Kong, Liang Mei. Simulation of 780-nm High-Spectral-Resolution LiDAR Based on Rubidium Cell[J]. Acta Optica Sinica, 2025, 45(6): 0601004 Copy Citation Text show less
    Energy level of the hyperfine structure of the D2 line of 87Rb atom
    Fig. 1. Energy level of the hyperfine structure of the D2 line of 87Rb atom
    Absorption cross-section of the D2 line of 87Rb atom, the zero optical frequency corresponds to 780.24 nm
    Fig. 2. Absorption cross-section of the D2 line of 87Rb atom, the zero optical frequency corresponds to 780.24 nm
    Transmittances of 87Rb absorption cell under different temperatures with a length of 63 mm
    Fig. 3. Transmittances of 87Rb absorption cell under different temperatures with a length of 63 mm
    Principle of 87Rb cell discriminator. (a) Principle of spectral separation; (b) dependencies of the Mie scattering and Rayleigh scattering transmittances on the temperature of the 87Rb absorption cell; (c) relationship between the spectral discrimination ratio and the temperature of the 87Rb absorption cell
    Fig. 4. Principle of 87Rb cell discriminator. (a) Principle of spectral separation; (b) dependencies of the Mie scattering and Rayleigh scattering transmittances on the temperature of the 87Rb absorption cell; (c) relationship between the spectral discrimination ratio and the temperature of the 87Rb absorption cell
    Relative error of the noise-induced error after ignoring Ta (Ta=0) under different temperatures
    Fig. 5. Relative error of the noise-induced error after ignoring Ta (Ta=0) under different temperatures
    Simulated profiles of the atmospheric backscattering coefficients
    Fig. 6. Simulated profiles of the atmospheric backscattering coefficients
    Simulated LiDAR curves. (a) Mixed channel LiDAR curve; (b) molecular channel LiDAR curve; (c) signal-to-noise ratio of the two channels
    Fig. 7. Simulated LiDAR curves. (a) Mixed channel LiDAR curve; (b) molecular channel LiDAR curve; (c) signal-to-noise ratio of the two channels
    Retrieved aerosol backscattering coefficient with noise
    Fig. 8. Retrieved aerosol backscattering coefficient with noise
    Relative errors of the aerosol backscattering coefficient ignoring Ta (Ta=0) and considering Ta (Ta≠0) with different temperatures (signal-to-noise ratio of the mixed channel at 6 km is 20 dB)
    Fig. 9. Relative errors of the aerosol backscattering coefficient ignoring Ta (Ta=0) and considering Ta (Ta0) with different temperatures (signal-to-noise ratio of the mixed channel at 6 km is 20 dB)
    Impact of temperature disturbance on the transmittance at different temperatures. (a) Distribution of Ta under temperature disturbance; (b) distribution of Tm under temperature disturbance; (c) relative error of Ta under temperature disturbance; (d) relative error of Tm under temperature disturbance
    Fig. 10. Impact of temperature disturbance on the transmittance at different temperatures. (a) Distribution of Ta under temperature disturbance; (b) distribution of Tm under temperature disturbance; (c) relative error of Ta under temperature disturbance; (d) relative error of Tm under temperature disturbance
    Simulation results of the error term under temperature disturbance. (a) Ta error term; (b) Tm error term
    Fig. 11. Simulation results of the error term under temperature disturbance. (a) Ta error term; (b) Tm error term
    Relative error of the retrieved backscattering coefficient
    Fig. 12. Relative error of the retrieved backscattering coefficient
    Relative errors of transmittance due to the frequency fluctuation at different temperatures. (a) Relative error of Ta; (b) relative error of Tm
    Fig. 13. Relative errors of transmittance due to the frequency fluctuation at different temperatures. (a) Relative error of Ta; (b) relative error of Tm
    Simulation results of the backscattering coefficient with frequency fluctuation at different temperatures. (a) 65 ℃; (b) 70 ℃; (c) 75 ℃; (d) 80 ℃
    Fig. 14. Simulation results of the backscattering coefficient with frequency fluctuation at different temperatures. (a) 65 ℃; (b) 70 ℃; (c) 75 ℃; (d) 80 ℃
    Simulation results of the backscattering coefficient under different temperatures, simulation parameters: ±1 ℃ temperature fluctuation, 100 MHz frequency fluctuation, 20 dB SNR at 6 km for the mixed channel
    Fig. 15. Simulation results of the backscattering coefficient under different temperatures, simulation parameters: ±1 ℃ temperature fluctuation, 100 MHz frequency fluctuation, 20 dB SNR at 6 km for the mixed channel
    SpecificationValue
    Laser wavelength /nm780.246
    Laser linewidth /MHz1
    Cell temperature /℃70
    Cell length /mm63
    Table 1. MC simulation parameters for the HSRL system
    Yupeng Chang, Haodong Qiu, Ning Xu, Zheng Kong, Liang Mei. Simulation of 780-nm High-Spectral-Resolution LiDAR Based on Rubidium Cell[J]. Acta Optica Sinica, 2025, 45(6): 0601004
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