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Comparisons between field-widen Michelson interferometer and Fabry-Perot interferometer as the spectroscopic filter in high spectral resolution lidar

机译:宽视场迈克尔逊干涉仪和法布里-珀罗干涉仪作为高光谱分辨率激光雷达中的分光镜的比较

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One of the pivotal challenges in high spectral resolution lidars (HSRLs) is the spectral discrimination process, which brings about more straightforward and accurate retrieval without a priori assumptions in contrast to standard backscatter lidars. Inteferometric filters such as Fabry-Perot interferometer (FPI) has shown great convenience for spectrally separating the Rayleigh and Mie scattered elements in HSRL returned signals. Based on interference of two incident beams, the field -widen Michelson interferometer (FWMI) may be also the same potential in this application as FPI in spite of some performance differences. In this paper, we concentrate on the performance comparisons of FWMI with FPI as spectroscopic filter in HSRL from the inspections of spectral discrimination characteristic, field of view (FOV) tolerance, the efficiency of power collection, etc. All these analytical comparisons are quantificational and will be beneficial to reasonable choice among the two optical filters for HSRL. The results indicate that in spite of a litter lower transmittance when processing the radiation with very small divergence and more rigorous tolerance for temperature stability and surface flatness compared with FPI, FWMI is still very competent in this spectral filtering process for its remarkable spectral discrimination characteristic and efficient photons collective ability which attributes to its field widen design and intrinsically outstanding spectral separation performance.
机译:高光谱分辨率激光雷达(HSRL)的关键挑战之一是光谱识别过程,与标准后向散射激光雷达相比,无需先验假设即可带来更直接,更准确的检索。 Fabry-Perot干涉仪(FPI)等干涉式滤波器在频谱分离HSRL返回信号中的瑞利和米氏散射元素方面显示出极大的便利。基于两个入射光束的干涉,尽管存在一些性能差异,但扩宽的迈克尔逊干涉仪(FWMI)在此应用中的潜力也可能与FPI相同。在本文中,我们通过检查光谱辨别特性,视场(FOV)容差,功率收集效率等,着重研究FWMI与FPI作为HSRL中的光谱滤镜的性能比较。所有这些分析比较都是量化的将有利于在HSRL的两个光学滤波器之间进行合理选择。结果表明,尽管与FPI相比,当处理辐射发散很小且对温度稳定性和表面平坦度的耐受性更严格时,垃圾的透射率较低,但FWMI仍具有出色的光谱识别特性,在此光谱过滤过程中仍然非常胜任。高效的光子集合能力,这归因于其广阔的设计范围和本质上出色的光谱分离性能。

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