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基于Fabry-Perot干涉仪反演大气风速和温度的算法研究

The Algorithm Research for Thermospheric Wind and Temperature Measurement with Fabry-Perot Interferometer

【作者】 王宏

【导师】 刘学斌;

【作者基本信息】 中国科学院研究生院(西安光学精密机械研究所) , 信号与信息处理, 2014, 硕士

【摘要】 大气层与人类的生存环境息息相关,风速和温度作为中高层大气的基本参数,它们在大气上下层之间的能量和动量传输中起着重要作用。法布里-珀罗干涉仪(FPI)是中高层大气研究的重要工具,已得到广泛应用,它通过探测夜气辉谱线的多普勒频移和展宽信息来反演大气风速和温度。算法研究是FPI反演大气风速和温度的理论基础,影响仪器的实施和精度提高。论文选择基于FPI反演大气风速和温度的算法为研究课题,分析已有经典算法的特点,提出一种矩阵简化算法,希望能够对FPI的应用和指标提高起到借鉴作用。论文研究如下:首先,论文阐述FPI及风场和温度场探测的研究背景和发展现状,分析基于FPI反演大气风速和温度算法的未来趋势和该领域的关键性问题;随后描述基于FPI反演大气风速和温度的基本原理,介绍探测源和FPI系统的传递函数,研究理想情况下FPI对入射谱线的系统响应表达式。然后,论文阐述影响FPI反演精度的缺陷展宽函数。从实际应用角度出发,介绍FPI反演大气风速和温度的经典算法,对这些算法的理论模型、反演原理、反演参数进行对比,总结出算法的优缺点;最后,在传统FPI反演大气风速和温度的经典理论的基础上,提出一种矩阵简化算法。利用分解和近似的数学基础方法来得到系统响应表达式的矩阵形式,然后采用最小二乘法反演出大气风速和温度。对此算法进行Matlab仿真和对比运算,分析算法的优缺点,为以后矩阵简化算法的实际应用打下理论基础。

【Abstract】 The atmosphere is closely related to our human being environment. As the twobasic parameters of the upper atmosphere, knowledge of wind and temperature isvital important for energy and momentum transferring between the upperatmosphere. The Fabry–Perot interferometer (FPI) is an important tool forupper-atmospheric research which has been wide ly used, it providing upperatmosphere wind and temperature measurements through detecting the doppler shiftand broadening of the night airglow spectral. The algorithm research is thetheoretical basis of wind and temperature measurement with FPI and it affects theimplementation of instrument and accuracy improved. The paper selected thealgorithm research for thermospheric wind and temperature measurement with FPIas the topic, analyzed the characteristics of the classical algorithm, proposed aMatrix reduction technique, hoping that it can give a reference for FPI applicationand indicators improve.Firstly, the paper describes the research background and development status ofthe FPI and wind and temperature field exploration, analyzes the future trends of thealgorithm for wind and temperature measurement with FPI and the key issues in thisfield; hereafter, the principle of measuring atmospheric wind and temperature by FPIis elaborated, and the detection source and FPI analytical transfer function isdescribed. then, the analytical response expression of FPI with ideal case is studied.Next, The defects broadening function of FPI which affects the retrieval accuracyis elaborated. From the practical po int, the paper gives four classical wind andtemperature inversion algorithms, From contrast the theoretical models, algorithmprinciples and inversion parameters of the classical methods, gives the summary ofthe advantages and d isadvantages of these algorithms.Finally, on the basis of traditional wind and temperature retrieval method withFPI, we proposed a new matrix reduction technique. This technique based on thedecompose and approximate mathematics to obtain the matrix form of analyticalrespo nse expression, then employ a least-squares technique to get the thermosphericwind and temperature. Using Matlab simulates the matrix reduction technique andcomparable to other algorithms, results shows that the matrix reduction techniquenot only has lower calculation and simple, but also can conjuction with other algorithms, lays the theoretical foundation for future practical applications.

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