大孔徑靜態(tài)干涉成像光譜儀光譜信噪比研究
[Abstract]:The acquisition of spectral data cube by large aperture static interference imaging spectrometer includes interferometer modulation, detector rectangular function convolution sampling and spectral inversion, and its spectral signal-to-noise ratio evaluation model is complex. Starting with the complete transmission process of spectral energy modulation, sampling and inversion, according to the principle of detector rectangular convolution sampling, the spectral inversion method of discrete Fourier transform (DFT) is used to derive the theory of signal and noise. A spectral signal-to-noise ratio (SNR) evaluation model of large aperture static interferometric spectrometer is established. The optical system transmittance, beam splitting efficiency of interferometer, detector quantum efficiency and the main circuit noise parameters are considered, and the spectral signal-to-noise ratio is simulated. The experimental results of spectral signal-to-noise ratio (SNR) are tested by using LASIS instrument. The average deviation between the measured results and the simulation results is 3.58, and the SNR trend of the single spectral band is basically consistent, which verifies the correctness of the evaluation model. The evaluation model includes the main technical links of the typical LASIS imaging spectrometer from the input spectrum radiation to the output spectral data. The interference efficiency of the interferometer beam-splitting surface is brought into the calculation formula of the signal-to-noise ratio (SNR). The influence of the detector rectangular sampling method on the signal-to-noise ratio (SNR) of the spectrometer is verified by experiments, which is helpful to improve the engineering design level of the LASIS imaging spectrometer.
【作者單位】: 中國科學院西安光學精密機械研究所光譜成像技術重點實驗室;中國科學院大學;中國科學院光電技術研究院;
【基金】:國家自然科學基金項目(41005109) 中國科學院空間科學先導專項(XDA04072102)資助
【分類號】:TH744.1
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