温室气体成像光谱仪的研制与性能优化

Development and performance optimization of greenhouse gas imaging spectrometer

  • 摘要: 为准确测量大气中温室气体CO2、CH4含量,自主设计并研制基于铟镓砷(Indium Gallium Arsenide, InGaAs)红外探测器的高分辨率、高信噪比的短波红外成像光谱仪。首先,选择使用Littrow结构和InGaAs红外探测器构建红外光谱仪,光谱仪测量波段为1595~1675 nm,光谱分辨率优于0.3 nm,弥散斑的均方根小于3.8 μm,传递函数高于0.7,使得光谱仪具有高光谱分辨率的同时,具有高成像质量和聚光效率。随后,针对InGaAs红外探测器在成像过程中,存在由于材料掺杂不均、制造工艺偏差等因素导致的盲元和响应不一致问题,提出了一种包括盲元检测、盲元补偿、非均匀性校正以及最佳温度选择的光谱仪优化方法,实验发现在0 ℃附近,光谱仪具有最高的信噪比,实际测量时光谱仪信噪比优于440。最后,开展CO2、CH4样气测量实验对短波红外光谱仪性能进行验证。结果表明,20000 ppm (1 ppm=10−6) CO2样气测量误差为2.444%,拟合残差1.17×10−4;998 ppm CH4样气测量误差为3.486%,拟合残差3.61×10−4;CO2与CH4混合样气测量误差小于5.5%,拟合残差7.2×10−4,样气测量结果较为准确,满足光谱仪设计指标要求,能够为后续温室气体CO2、CH4的准确测量提供有力支持,也为下一步温室气体机载测量奠定基础。

     

    Abstract:
    Objective Due to the overlap and interference of the absorption peaks of CO2 and CH4 in the short-wave infrared, and the contradiction between sensitivity and dynamic range, the existing greenhouse gas grating spectrometers cannot realize the simultaneous observation of CO2 and CH4 with high precision. In order to accurately measure the content of greenhouse gases CO2 and CH4 in the atmosphere, a short-wave infrared imaging spectrometer with high resolution and high signal-to-noise ratio based on Indium Gallium Arsenide (InGaAs) infrared detector was designed and developed independently. At the same time, to enable the spectrometer to achieve excellent performance and meet the requirements of high-quality imaging and high-precision measurement, a performance optimization method for infrared spectrometers is proposed.
    Methods First of all, based on the application scenarios of the equipment, it is proposed that the spectrometer band should cover 1595-1 675 nm, the resolution should be less than 0.3 nm, and the signal-to-noise ratio should not be less than 407. According to the requirements of the indicators, the relevant design of optics and electronics is completed, and the Littrow structure and InGaAs infrared detector are selected. Subsequently, in the imaging process of InGaAs infrared detector, there are blind pixels and inconsistent response problems caused by factors such as uneven material doping and manufacturing process deviation. A spectrometer optimization method including blind pixel detection, blind pixel compensation, non-uniformity correction and optimal temperature selection is proposed to make the spectrometer have the best working performance and improve its imaging quality and measurement accuracy.
    Results and Discussions The infrared spectrometer sample gas measurement experiment is carried out. The experimental results show that the spectrometer has the highest signal-to-noise ratio near 0 °C, and the sample gas measurement results of the spectrometer are more accurate. The measurement error of 20000 ppm CO2 sample gas is less than 2.5%, and the measurement error of 998 ppm CH4 sample gas is less than 3.5%. The measurement error of the mixed sample gas of CO2 and CH4 is less than 5.5%, and the fitting residual error is 7.2×10−4. The measurement results of the sample gas are more accurate and meet the design requirements of the spectrometer.
    Conclusion Through optimization, the measurement band range of the short-wave infrared spectrometer is 1595-1675 nm, the spectral resolution is better than 0.3 nm in the measurement band, and the signal-to-noise ratio is better than 440 in the actual measurement, which fully meets the requirements of the spectrometer. The spectrometer has high measurement accuracy and imaging quality, which can provide strong support for the subsequent accurate measurement of greenhouse gases CO2 and CH4, and also lay the foundation for the next airborne measurement.

     

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