The Algorithm Research For Thermospheric Wind And Temperature Measurement With Fabry-Perot Interferometer

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.