• Infrared and Laser Engineering
  • Vol. 52, Issue 5, 20220715 (2023)
Fu Yang1, Wenhao Chen1, Yanyu Lu1, and Yan He2,*
Author Affiliations
  • 1College of Science, Donghua University, Shanghai 201620, China
  • 2Key Laboratory of Space Laser Communication and Detection Technolog, Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai 201800, China
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    DOI: 10.3788/IRLA20220715 Cite this Article
    Fu Yang, Wenhao Chen, Yanyu Lu, Yan He. Simulation of high spectral resolution oceanic particulate carbon profile detection system[J]. Infrared and Laser Engineering, 2023, 52(5): 20220715 Copy Citation Text show less
    High spectral resolution detection principle for iodine molecular absorption cells
    Fig. 1. High spectral resolution detection principle for iodine molecular absorption cells
    Hyperspectral mode of filtering
    Fig. 2. Hyperspectral mode of filtering
    Flowchart of oceanographic lidar simulation system [13]
    Fig. 3. Flowchart of oceanographic lidar simulation system [13]
    (a) Maximum sounding depth in some waters of the Indian Ocean; (b) Maximum sounding depth in some waters of the South Pacific Ocean; (c) Maximum ocean depth estimation using space-based ocean lidar, Liu Qun et al[12]
    Fig. 4. (a) Maximum sounding depth in some waters of the Indian Ocean; (b) Maximum sounding depth in some waters of the South Pacific Ocean; (c) Maximum ocean depth estimation using space-based ocean lidar, Liu Qun et al[12]
    Scattering spectrum of interaction between laser and sea water[17]
    Fig. 5. Scattering spectrum of interaction between laser and sea water[17]
    Variation of normalized intensity with temperature under central frequency dithering
    Fig. 6. Variation of normalized intensity with temperature under central frequency dithering
    Schematic diagram for an HSRL return spectra
    Fig. 7. Schematic diagram for an HSRL return spectra
    ParameterValue
    Wavelength $ \lambda $532.2
    Lidar altitude ${ {H} }$2 000
    Pulse energy $ E $1
    Pulse repetition frequency/kHz5
    Pulse width $ \mathrm{\Delta }t $10
    Receiver effective area A/m20.031 4
    Refraction index $ n $1.35
    Transmittance of the receiver optics ${T}_{{\rm{0}}}$0.5
    Transmittance through the sea surface $ {T}_{s} $0.95
    Quantum efficiency of PMT0.1
    Dynamic range of PMT/dB50
    Overlap factor $ O $1
    Splitting ratio1∶4
    Table 1. Parameters of lidar
    Wavelength/nmLineCenter frequency jitter range at 5‰ error of normalized intensity/MHz
    532.1985-±60
    532.24231111±30
    532.24511110±90
    532.28971105±30
    532.29281104±60
    Table 2. Characteristics of the different operating wavelengths of the shipboard detection system
    Wavelength/ nm Extinction ratio/ dB FWHM/ GHz Line$ {T}_{m};{T}_{a} $Normalization intensity change (4-32 ℃) $ {T}_{m};{T}_{a} $ change (±60 MHz) Normalization intensity change (±60 MHz)
    532.198528.81.42-64.4%; 99.5%3‰17.8‰; 2.4‰3‰
    532.245130.21.28111058.5%; 99.8%2‰2.9‰; 0.8‰5‰
    532.289725.91.28110556.7%; 99.5%2‰0.7‰; 2.1‰4‰
    532.292830.91.40110460.8%; 99.8%5‰1.3‰; 0.3‰5‰
    Table 3. Characteristics of the different operating wavelengths of the airborne detection system
    Fu Yang, Wenhao Chen, Yanyu Lu, Yan He. Simulation of high spectral resolution oceanic particulate carbon profile detection system[J]. Infrared and Laser Engineering, 2023, 52(5): 20220715
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