 The temperature and wind in the middle and upper atmosphere can be obtained by recording the Doppler shift and broadening of the air blow emission, which is reflected by the interference ring from a ground-based Fabry-Perot interferometer, FBI, system. FBI observations are highly susceptible to weather and the external environment, which seriously affect the signal-to-noise ratio, SNR. An SNR can significantly increase errors in determining the center of the interferogram, leading to inaccurate wind and temperature inversions. To overcome these issues, we propose the maximum standard deviation method, MSDM, which uses multiple 1D interferograms to calculate the center of the interferogram. This method is more accurate and robust than the other two algorithms of binarization and peak fitting, which are usually used to invert wind and temperature from the interference ring of FBI. The MSDM has been tested on simulated interferograms with white Gaussian noise and Poisson noise, as well as real air glow interferograms from the Kellen, 38.7 degrees north, 111.6 degrees east, FBI. The results show that. This article was authored by Yifei Wei, Shinyangu, Zhenlinyang, and others. We are article.tv, links in the description below.