高光譜分辨率激光雷達(dá)鑒頻器的設(shè)計(jì)與分析
發(fā)布時(shí)間:2018-05-12 19:50
本文選題:激光雷達(dá) + 高光譜。 參考:《物理學(xué)報(bào)》2017年18期
【摘要】:提出了利用Fabry-Perot干涉儀的反射場(chǎng)實(shí)現(xiàn)高光譜分辨率激光雷達(dá)精細(xì)探測(cè)大氣光學(xué)參量的新方法和思路.設(shè)計(jì)了高光譜分辨率的分光系統(tǒng),并分析了干涉儀反射場(chǎng)的光譜透過(guò)特征曲線.結(jié)合高光譜激光雷達(dá)探測(cè)信號(hào)特征,討論分析了譜分離比和瑞利信號(hào)透過(guò)率隨反射率和腔長(zhǎng)的變化曲線,同時(shí)結(jié)合誤差傳遞公式,建立了仿真分析模型,討論了回波光束發(fā)散角和入射角變化對(duì)激光雷達(dá)探測(cè)結(jié)果的影響.結(jié)果表明,所提出的Fabry-Perot干涉儀反射場(chǎng)可以實(shí)現(xiàn)高光譜分辨率激光雷達(dá)探測(cè)系統(tǒng)的精細(xì)分光,同時(shí)探測(cè)結(jié)果誤差隨回波光束發(fā)散角變化不敏感,控制發(fā)散角在10 mrad以內(nèi),入射角在1.5 mrad以內(nèi)時(shí),可以實(shí)現(xiàn)氣溶膠光學(xué)參數(shù)廓線的高精度探測(cè).
[Abstract]:A new method and train of thought for fine detection of atmospheric optical parameters by hyperspectral resolution lidar using Fabry-Perot interferometer reflectance field is presented. A spectroscopic system with high spectral resolution is designed, and the spectral transmission characteristic curve of the interferometer reflectance field is analyzed. Based on the characteristics of the detection signal of hyperspectral lidar, the curves of spectral separation ratio and Rayleigh signal transmittance with reflectivity and cavity length are discussed and analyzed. At the same time, the simulation analysis model is established by combining the error transfer formula. The influence of the divergence angle and incidence angle of echo beam on the detection results of lidar is discussed. The results show that the reflectance field of the proposed Fabry-Perot interferometer can realize fine light separation of the high spectral resolution lidar detection system, and the error of the detection results is not sensitive to the variation of the divergence angle of the echo beam, and the controlled divergence angle is less than 10 mrad. When the incident angle is less than 1.5 mrad, the aerosol optical parameter profile can be detected with high precision.
【作者單位】: 西安理工大學(xué)機(jī)械與精密儀器工程學(xué)院;
【基金】:國(guó)家自然科學(xué)基金(批準(zhǔn)號(hào):61575160,61308107,41627807) 陜西省青年科技新星人才項(xiàng)目(資助號(hào):2016KJXX-72)資助的課題~~
【分類(lèi)號(hào)】:TN958.98
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本文編號(hào):1879926
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