Research on spectrum correction algorithm based on coherent wind lidar

Ge Wu; Yiming Zhao; Xunpeng Ma; Ji Bian; Jiaxin Liu

doi:10.1117/12.2674442

28 April 2023 Research on spectrum correction algorithm based on coherent wind lidar

Ge Wu, Yiming Zhao, Xunpeng Ma, Ji Bian, Jiaxin Liu

Proceedings Volume 12626, International Conference on Signal Processing, Computer Networks, and Communications (SPCNC 2022); 126260O (2023) https://doi.org/10.1117/12.2674442
Event: International Conference on Signal Processing, Computer Networks, and Communications (SPCNC 2022), 2022, Zhuhai, China

Abstract

Coherent wind lidar can detect atmospheric wind field information in real time and accurately. It plays an important role in military aviation applications, numerical weather prediction, meteorological climatology research, wind energy resource utilization and other fields.Coherent wind lidar is based on Doppler effect to realize wind speed measurement. Therefore, the estimation accuracy of Doppler frequency shift directly determines the performance of coherent wind lidar system.In this paper, after the FFT transform of the signal, the spectrum correction effect of the energy centrobaric correction method, the ratio correction method and the spectrum correction algorithm based on sinc function fitting is verified by simulation. Finally, the spectrum correction algorithm based on sinc function fitting is selected to correct the frequency of the measured Doppler signal. The correction effect of the algorithm is obvious, and the purpose of reducing the error and improving the analysis accuracy is achieved.

Citation Download Citation

Ge Wu, Yiming Zhao, Xunpeng Ma, Ji Bian, and Jiaxin Liu "Research on spectrum correction algorithm based on coherent wind lidar", Proc. SPIE 12626, International Conference on Signal Processing, Computer Networks, and Communications (SPCNC 2022), 126260O (28 April 2023); https://doi.org/10.1117/12.2674442

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available