A comparative study of three methods to detect the upper atmospheric wind by DASH

None Li Wen-Wen, None Hui Ning-Jv, None Li Cun-Xia, None Liu Yang-He, None Fang Yan, None Li Ling-Qing, None Wang Yan-Long, None Tang Yuan-He
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Abstract

The DASH (Doppler Asymmetric Spatial Heterodyne) is used to detect the upper atmospheric wind velocity by its imaging Fizeau interference fringes. There are two wind measurement methods: Fourier series method (FSM) and popular Fourier transform method (FTM). However, the wind measurement accuracy of FTM is greatly influenced by window function, and the calculation amount is relatively complicated. The Four-point algorithm (FPA) for DASH’ s wind measurement is proposed in this paper. The contents of wind measurement principle, forward modeling, noise and inversion by the FSM, FTM and FPA are wholly compared and researched. The three wind measurement methods are all derived from the phase difference transformation of DASH Fizeau interference fringes. The Fizeau interference fringes with wind speed of 0-100m/s at the interval of 10m/s is simulated, and the forward wind speed is obtained by FSM, FTM and FPA, and the corresponding wind measurement errors are 2.93%, 4.67% and 3.00%,respectively. After artificially adding Gaussian noise with a mean value of 0 and a standard deviation of 0.1, FSM, FTM and FPA are used to forward the Fizeau interference fringes after flat field, and the corresponding relative errors are 2.30%, 11.66% and 2.27% respectively. After artificially adding Gaussian noise, the Fizeau interference fringes of wind speeds of 31-39m/s with 1m/s interval and 30.1-30.9m/s with 0.1m/s interval are simulated, and the forward wind speeds are obtained by FSM and FPA. In both cases, the wind measurement errors of FSM are 3.55% and 4.15% higher than those of FPA. The O(1S)557.7nm airglow at peak altitude of 98 km was photographed by our GBAII (Ground based airglow imaging interferometer)-DASH, and the imaging interferograms with zenith angles of 0 ° and 45 ° were obtained. Then by the methods of Fourier series, Fourier transform and FPA were used to obtain the inversion wind speed of 32.21m/s, 43.55m/s and 32.17m/s, respectively. From the forward and inversion results of DASH, we can see that the FPA has a better results for detecting the upper atmospheric wind, for its simple calculation and smaller wind measurement error.
DASH三种高空风探测方法的比较研究
利用多普勒非对称空间外差仪(DASH)成像菲索干涉条纹,探测高空大气风速。风的测量方法有两种:傅里叶级数法(FSM)和傅里叶变换法(FTM)。但FTM的测风精度受窗函数影响较大,且计算量相对复杂。提出了一种用于DASH测风的四点算法(FPA)。对FSM、FTM和FPA的测风原理、正演模拟、噪声和反演等内容进行了全面的比较和研究。三种测风方法均由DASH菲索干涉条纹的相位差变换推导而来。模拟了风速为0-100m/s、间隔为10m/s的菲索干涉条纹,通过FSM、FTM和FPA获得了正向风速,测风误差分别为2.93%、4.67%和3.00%。在人为加入均值为0、标准差为0.1的高斯噪声后,利用FSM、FTM和FPA对平场后的菲索干涉条纹进行前摄,相对误差分别为2.30%、11.66%和2.27%。在人为加入高斯噪声后,模拟风速为31-39m/s、间隔为1m/s、30.1-30.9m/s、间隔为0.1m/s时的菲索干涉条纹,并通过FSM和FPA获得前向风速。两种情况下,FSM的测风误差分别比FPA高3.55%和4.15%。我们的地面气辉成像干涉仪(GBAII)-DASH对峰值高度为98 km的O(<sup>1</sup>S)557.7nm气辉进行了拍摄,得到了天顶角为0°和45°的成像干涉图。然后通过傅里叶级数、傅里叶变换和FPA方法分别得到逆温风速为32.21m/s、43.55m/s和32.17m/s。从DASH的正反演结果可以看出,FPA由于计算简单,测风误差较小,对高层大气风的探测效果较好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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