Data processing of the middle and upper atmospheric wind field retrieval based on the Fabry-Perot Interferometer
-
摘要: 中高层大气风速反演需要精确的确定法布里-帕罗干涉仪(Fabry-Perot Interferometer,FPI)干涉条纹的圆心和半径.本文针对FPI非闭合式干涉环条纹,提出了新的条纹圆心和半径确定方法:首先对所得到的条纹强度分布进行噪声去除预处理:包括均值滤波和自适应滤波;然后初步确定圆心,以该圆心为中心作n条射线得到n条干涉环剖线,利用高斯函数拟合得到干涉环峰值位置,再利用所得峰值位置进行圆拟合得到新的圆心和半径;最后以新的圆心为初始圆心重复上述计算过程直到圆心坐标收敛.利用上述方法对FPI仿真数据进行处理,并用于中高层大气风速反演,得到风速值为96.9537 m/s(对应实际风速值约100 m/s)和7.528.2 m/s (对应实际风速值约10 m/s),将其与理论实际值进行比较,得到反演绝对误差分别为-2.977 m/s和-2.465 m/s,相对误差分别为-2.98%和-24.67%,表明上述方法满足中高层大气风速(一般为每秒几十米到几百米)的反演精度要求,初步论证了圆心和半径确定方法的可行性.
-
关键词:
- Fabry-Perot干涉仪(FPI) /
- 中高层大气 /
- 风速反演 /
- 非闭合式干涉环
Abstract: The accurate estimation of center coordinates and radius of Fabry-Perot Interferometer (FPI) interference fringes can retrieve an accurate wind velocity of the middle and upper atmosphere. In this paper, a new method is proposed for the center coordinates and radius estimation of non-closed interference fringes of FPI. After denoising processing of the fringe intensity including mean filtering and adaptive filtering, cross sections are taken with the pole at the center of the interference fringes. Interference fringe peak coordinates are acquired according to the Gauss distribution of fringe intensity. Then, new center coordinates and radius are estimated by using circle fitting with the least square method. Finally, center coordinate and radius can be calculated through the iterative operation. The new method was applied to Fabry-Perot interferometer data processing for wind velocity estimation of the middle and upper atmosphere. Wind velocity retrievals are 96.9537 m/s (actual wind velocity~100 m/s) and 7.528.2 m/s (actual wind velocity ~10 m/s). Compared with actual values, the retrieval values are lower by 2.977 m/s and 2.465 m/s respectively. Relative errors are -2.98% and -24.67% respectively, which suggests a tentatively reliable and practicable method of circle center and radius estimation for wind velocity retrieval of upper atmosphere (from scores of meters to hundreds meters per second). -
-
[1] 韩威华, 王咏梅, 吕建工等. 中高层大气风场星载FPI干涉条纹的处理. 科学技术与工程, 2010, 10(10): 2420-2423. Han W H, Wang Y M, Lü J G, et al. Auto-processing of middle and upper atmosphere wind FPI interference fringe pattern. Science Technology and Engineering (in Chinese), 2010, 10(10): 2420-2423.
[2] Killen T L, Kennedy B C, Hays P B, et al. Image plane detector for the dynamics explorer Fabry-Perot interferometer. Appl. Opt., 1983, 22(22): 3503-3513.
[3] Killeen T L, Hays P B. Doppler line profile analysis for a multichannel Fabry-Perot interferometer. Appl. Opt., 1984, 23(4): 612-620.
[4] Hays P B, Killeen T L, Kennedy B C. The Fabry-Perot interferometer on dynamics explorer. Space Sci. Instrum., 1981, 5: 395-416.
[5] Skinner W R, Hays P B, Abreu V J. High resolution Doppler imager. Ann Arbor: International Geoscience and Remote Sensing Symposium, 1987: 673-676.
[6] Abreu V J, Hays P B, Skinner W R. The high resolution Doppler imager. Opt. Photon. News, 1991, 2(10): 28-30.
[7] Hays P B, Abreu V J, Dobbs M E, et al. The high-resolution Doppler imager on the upper atmosphere research satellite. Journal of Geophysical Research, 1993, 98(D6): 10713-10723.
[8] Killen T L, Skinnerm W R, Johnson R M, et al. TIMED Doppler interferometer (TIDI). SPIE, 1999, 3756: 289-301.
[9] Skinner W R, Niciejewski R J, Killen T L, et al. Operational performance of the TIMED Doppler interferometer (TIDI). SPIE, 2003, 5157: 47-57.
[10] Killeen T L, Wu Q, Solomon S C, et al. TIMED Doppler Interferometer: Overview and recent results. J. Geophys. Res., 2006, 111: A10S01, doi: 10.1029/2005JA011484.
[11] 袁伟, 徐寄遥, 马瑞平等. 我国光学干涉仪对中高层大气风场的首次观测. 科学通报, 2010, 55(35): 3378-3383. Yuan W, Xu J Y, Ma R P, et al. First observation of mesospheric and thermospheric winds by a Fabry-Perot interferometer in China. Chinese Science Bulletin, 2010, 55(35): 4046-4051.
[12] Jiang G Y, Xu J Y, Yuan W, et al. A comparison of mesospheric winds measured by FPI and meteor radar located at 40N. Sci. China Tech. Sci., 2012, 55(5): 1245-1250, doi: 10.1007/s11431-012-4773-1.
[13] 姜国英, 徐寄遥, 史建魁等. 我国海南上空中高层大气潮汐风场的首次观测分析, 科学通报, 2010, 55(10): 923-930. Jiang G Y, Xu J Y, Shi J K, et al. The first observation of the atmospheric tides in the mesosphere and lower thermosphere over Hainan, China. Chinese Science Bulletin, 2010, 55(11): 1059-1066.
[14] 王咏梅, 付利平, 杜述松等. 中高层大气风场和温度场星载探测技术研究进展. 空间科学学报, 2009, 29(1): 1-5. Wang Y M, Fu L P, Du S S, et al. Development for detecting upper atmospheric wind and temperature from satellite. Chin. J. Space Sci. (in Chinese), 2009, 29(1): 1-5.
[15] 张淳民, 相里斌, 赵葆常. 用Fabry-Perot干涉仪测量上层大气风场的速度和温度. 西安交通大学学报, 2000, 34(4): 97-99. Zhang C M, Xiang L B, Zhao B C. Velocity and temperature measurement of upper atmosphere wind field using Fabry-Perot interferometer. Journal of Xi'an Jiaotong University (in Chinese), 2000, 34(4): 97-99.
[16] 汪丽, 周毅, 华灯鑫等. 基于法布里-珀罗干涉仪的大气风场及温度场探测理论研究及仿真. 光学学报, 2011, 31(10): 1001001-1-1001001-6. Wang L, Zhou Y, Hua D X, et al. Theoretical research and simulation of the atmospheric wind field and temperature based on the Fabry-Perot interferometer. Acta Optica Sinica (in Chinese), 2011, 31(10): 1001001-1-1001001-6.
[17] 赵正启, 周小珊, 艾勇. 扫描式法布里——珀罗干涉仪测量高空大气风速. 应用光学, 2006, 27(6): 558-562. Zhao Z Q, Zhou X S, Ai Y. Wind-velocity detection in upper atmosphere with scanning Fabry-Perot interferometer. Journal of Applied Optics (in Chinese), 2006, 27(6): 558-562.
[18] 李浩, 张燕革. 模拟大气风场及其数据处理技术的研究. 应用光学, 2009, 30(2): 285-290. Li H, Zhang Y G. Simulation and analysis of thermospheric wind velocity. Journal of Applied Optics (in Chinese), 2009, 30(2): 285-290.
[19] 鄂 非, 高秋燕, 艾勇. 一种新的Fabry-Perot干涉条纹处理方法. 光学技术, 2009, 35(4): 499-501. E F, Gao Q Y, Ai Y. A new method of processing the Fabry-Perot interference fringes. Optical Technique (in Chinese), 2009, 35(4): 499-501.
[20] 韩威华, 吕建工, 王咏梅等. Fabry-Perot测风干涉仪数据处理. 空间科学学报, 2011, 31(6): 784-788. Han W H, Lü J G, Wang Y M, et al. Image data processing of Spaceborne Fabry-Perot interferometer prototype. Chin. J. Space Sci. (in Chinese), 2011, 31(6): 784-788.
[21] Wilksch P A. Instrument function of the Fabry-Perot spectrometer. Appl. Opt., 1985, 24(10): 1502-1511.
[22] Kubota M. A study on middle-scale variations of thermospheric neutral winds associated with auroral activity over Syowa station, Antarctica. Japan: Tohoku University, 1996.
[23] Shiokawa K, Kadota T, Otsuka Y, et al. A two-channel Fabry-Perot interferometer with thermoelectric-cooled CCD detectors for neutral wind measurement in the upper atmosphere. Earth, Planets Space, 2003, 55: 271-275.
[24] Dyson P L, Davies T P, Parkinson T P, et al. Thermospheric neutral winds at southern mid-latitudes: A comparison of optical and ionosonde hmF2 methods. J. Geophys. Res., 1997, 102(A12): 27189-27196.
[25] Biondi M A, Sazykin S Y, Fejer B G, et al. Equatorial and low latitude thermospheric winds: measured quiet time variations with season and solar flux from 1980 to 1990. J. Geophys. Res., 1999, 104(A8): 17091-17106.
[26] Lim J S. Two-Dimensional Signal and Image Processing. Englewood Cliffs: Prentice Hall, 1990: 469-476.
[27] Lim J S. Two-Dimensional Signal and Image Processing. Englewood Cliffs: , Prentice Hall, 1990: 548.
[28] Shepherd G G, Guit W A, Miller D W, et al. WAMDII, wide-angle Michelson Doppler imaging interferometer for space lab. Appl. Opt., 1985, 24(11): 1571-1583.
[29] Hays P B. Circle to line interferometer optical system. Appl. Opt., 1990, 29(10): 1482-1489.
[30] Killeen T L, Roble R G. Thermosphere dynamics: Contributions from the first 5 years of the Dynamics Explorer program. Rev. Geophys., 1988, 26(2): 329-367.
[31] Shiokawa K, Kadota T, Mitsumu K E, et al. Three-channel imaging Fabry-Perot interferometer for measurement of mid-latitude airglow. Appl. Opt., 2001, 40(24): 4286-4296.
-
计量
- 文章访问数:
- PDF下载数:
- 施引文献: 0