Guanglie Hong, Yanbo Zhou, Rong Shu, et al. Spectral analysis made by Mach-Zehnder interferometer for atmospheric backscattering[J]. Opto-Electronic Engineering, 2017, 44(8): 805-810. doi: 10.3969/j.issn.1003-501X.2017.08.007
Citation: Guanglie Hong, Yanbo Zhou, Rong Shu, et al. Spectral analysis made by Mach-Zehnder interferometer for atmospheric backscattering[J]. Opto-Electronic Engineering, 2017, 44(8): 805-810. doi: 10.3969/j.issn.1003-501X.2017.08.007

Spectral analysis made by Mach-Zehnder interferometer for atmospheric backscattering

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  • The ability to analyze the spectra of 532 nm/354.7 nm backscatter signal of atmosphere for Mach-Zehdner interferometer is demonstrated. The Mach-Zehdner interferometer accepts return signal. The phase difference and interference contrast are measured, which are formed by the interferometer's double arm, polarization and quadro-channels, and Doppler frequency shift of atmosphere and backscatter ratio of aerosol backscatter to molecular backscatter are derived. Transmitter laser can operate with multi-longitudinal mode, and Mie backscattering and Rayleigh backscattering analysis spectrograph is free from locking to laser frequency. Analysis method of simultaneous measurements atmosphere aerosol backscattering ratio profile and wind profile are also discussed. If Mach-Zehnder interferometer is employed as atmospheric backscatter signal's frequency spectrum analyzer, this high spectral resolution lidar will become an atmosphere analysis instrument with excellent performance and anticipant prospect.
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  • [1] Shipley S T, Tracy D H, Eloranta E W, et al. High spectral resolution lidar to measure optical scattering properties of atmospheric aerosols. 1: theory and instrumentation[J]. Applied Optics, 1983, 22(23): 3716-3724. doi: 10.1364/AO.22.003716

    CrossRef Google Scholar

    [2] Sroga J T, Eloranta E W, Shipley S T, et al. High spectral resolution lidar to measure optical scattering properties of atmospheric aerosols. 2: calibration and data analysis[J]. Applied Optics, 1983, 22(23): 3725-3732. doi: 10.1364/AO.22.003725

    CrossRef Google Scholar

    [3] Shimizu H, Lee S A, She C Y. High spectral resolution lidar system with atomic blocking filters for measuring atmospheric parameters[J]. Applied Optics, 1983, 22(9): 1373-1381. doi: 10.1364/AO.22.001373

    CrossRef Google Scholar

    [4] Hair J W, Caldwell L M, Krueger D A, et al. High-spectral-resolution lidar with iodine-vapor filters: measurement of atmospheric-state and aerosol profiles[J]. Applied Optics, 2001, 40(30): 5280-5294. doi: 10.1364/AO.40.005280

    CrossRef Google Scholar

    [5] Voss E, Weitkamp C, Michaelis W. Lead-vapor filters for high-spectral-resolution temperature lidar[J]. Applied Optics, 1994, 33(15): 3250-3260. doi: 10.1364/AO.33.003250

    CrossRef Google Scholar

    [6] Flesia C, Korb C L. Theory of the double-edge molecular technique for Doppler lidar wind measurement[J]. Applied Optics, 1999, 38(3): 432-440. doi: 10.1364/AO.38.000432

    CrossRef Google Scholar

    [7] McKay J A. Modeling of direct detection Doppler wind lidar. I. The edge technique[J]. Applied Optics, 1998, 37(27): 6480-6486. doi: 10.1364/AO.37.006480

    CrossRef Google Scholar

    [8] Chemyakin E, Müller D, Burton S, et al. Arrange and average algorithm for the retrieval of aerosol parameters from multiwavelength high spectral-resolution lidar/Raman lidar data[J]. Applied Optics, 2014, 53(31): 7252-7266. doi: 10.1364/AO.53.007252

    CrossRef Google Scholar

    [9] Nishizawa T, Sugimoto N, Matsui I. Development of a dual-wavelength high-spectral-resolution lidar[J]. Proceedings of SPIE, 2010, 7860: 78600D. doi: 10.1117/12.870068

    CrossRef Google Scholar

    [10] Hair J W, Hostetler C A, Cook A L, et al. Airborne high spectral resolution Lidar for profiling aerosol optical properties[J]. Applied Optics, 2008, 47(36): 6734-6752. doi: 10.1364/AO.47.006734

    CrossRef Google Scholar

    [11] Lefebvre A, Hélière A, Albiñan A P, et al. EarthCARE mission, overview, implementation approach, and development status[J]. Proceedings of SPIE, 2014, 9264: 926403. doi: 10.1117/12.2069309

    CrossRef Google Scholar

    [12] Liu Zhishen, Bi Decang, Song Xiaoquan, et al. Iodine-filter-based high spectral resolution lidar for atmospheric temperature measurements[J]. Optics Letters, 2009, 34(18): 2712-2714. doi: 10.1364/OL.34.002712

    CrossRef Google Scholar

    [13] Liu Zhishen, Liu Bingyi, Wu Songhua, et al. A high spatial and temporal resolution mobile incoherent Doppler lidar for sea surface wind measurements[J]. Optics Letters, 2008, 33(13): 1485-1487. doi: 10.1364/OL.33.001485

    CrossRef Google Scholar

    [14] Liu Dong, Hostetler C, Miller I, et al. System analysis of a tilted field-widened Michelson interferometer for high spectral resolution lidar[J]. Optics Express, 2012, 20(2): 1406-1420. doi: 10.1364/OE.20.001406

    CrossRef Google Scholar

    [15] 王国成, 孙东松, 段连飞, 等.测风激光雷达法布里珀罗标准具参数及其性能分析[J].光学学报, 2011, 31(3): 0301001.

    Google Scholar

    Wang Guocheng, Sun Dongsong, Duan Lianfei, et al. Analysis and design of Fabry-Pérot etalon of doppler wind lidar[J]. Acta Optica Sinica, 2011, 31(3): 0301001.

    Google Scholar

    [16] 王亚慧, 刘继桥, 陈卫标, 等.基于Fizeau干涉仪的大气多普勒频移检测技术[J].中国激光, 2016, 43(3): 0308005.

    Google Scholar

    Wang Yahui, Liu Jiqiao, Chen Weibiao, et al. Detection technology of atmospheric Doppler frequency shift based on Fizeau interferometer[J]. Chinese Journal of Lasers, 2016, 43(3): 0308005.

    Google Scholar

    [17] Hua Dengxin, Kobayashi T. Ultraviolet Rayleigh-Mie lidar by use of a multicavity Fabry-Perot filter for accurate temperature profiling of the troposphere[J]. Applied Optics, 2005, 44(30): 6474-6478. doi: 10.1364/AO.44.006474

    CrossRef Google Scholar

    [18] Bruneau D, Pelon J, Blouzon F, et al. 355-nm high spectral resolution airborne lidar LNG: system description and first results[J]. Applied Optics, 2015, 54(29): 8776-8785. doi: 10.1364/AO.54.008776

    CrossRef Google Scholar

    [19] Smith J A, Chu Xinzhao. Investigation of a field-widened Mach-Zehnder receiver to extend Fe Doppler lidar wind measurements from the thermosphere to the ground[J]. Applied Optics, 2016, 55(6): 1366-1380. doi: 10.1364/AO.55.001366

    CrossRef Google Scholar

    [20] 羊国光, 宋菲君, 高等物理光学[M]. 2版.合肥:中国科学技术大学出版社, 2008: 181-184.

    Google Scholar

    Yang Guoguang, Song Feijun. Higher physics optics[M]. 2nd ed. Hefei: University of Science & Technology China Press, 2008: 181-184.

    Google Scholar

  • The ability to analyze the spectra of 532 nm/354.7 nm backscatter signal of atmosphere for Mach-Zehdner interferometer is demonstrated. The Mach-Zehdner interferometer accepts return signal. The phase difference and interference contrast are measured, which are formed by the interferometer’s double arm, polarization and quadro-channels, and Doppler frequency shift of atmosphere and backscatter ratio of aerosol backscatter to molecular backscatter are derived.

    Unlike the previously developed high spectral resolution lidar (HSRL) by use of Fabry–Perot interferometers or iodine filters, the Mach-Zehdner interferometer (MZI) receiver does not separate the molecule and particle scatterings. We perform the backscatter ratio determination by deriving the interference contrast from the signal delivered by the different channels. In the same way, the Doppler shift is calculated by the difference in the interference state between the outgoing pulse and the backscattered signal. For both retrievals it is then unnecessary to lock the emitted frequency onto the receiver as required by most HSRL devices to reduce bias in the signal analysis. Only relative frequency stability is necessary during signal averaging, which is a more easily achievable requirement. Another characteristic of the MZI receiver is that it transmits all the incident photons in contrast to most of the HSRL devices that use only the signal that is transmitted through a highly selective filter, and Michelson interferometer receiver reflects half of all the incident photons. The MZI receiver allows larger signal to noise ratio (SNR) for the MZI compared with the HSRL devices, as long as the noise is not dominated by the background light contribution. It must also be noted that the measurements of the backscatter ratio and the wind velocity can be performed independently and do not require cross corrections.

    We prove physics theory of an HSRL using a laser that oscillates in a multi-longitudinal mode. The instrument exploits the light backscattered by particles using an MZI with an optical path difference matched to the free spectral range of the laser longitudinal modes. Rayleigh and Mie scattering components are acquired using an MZI with the same free spectral range (FSR) as the transmitted laser. The transmitted laser light is measured as a reference signal with the same MZI. Using rectangular prism reflex light path built up double optical arms, one of the same class geometrical model of MZI is devised. With combination magnesium fluoride crystal and mountain crystal two crystals material, a quarter wave plate is devised, and then it makes MZI adapt to two types 532 nm/354.7 nm wavelength light echo synchronously. If MZI is employed as atmospheric backscatter signal’s frequency spectrum analyzer, this high spectral resolution lidar will become an atmosphere analysis instrument with excellent performance and anticipant prospect.

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