Research on spectrum correction algorithm based on coherent wind lidar

  • Ge Wu
  • , Yiming Zhao*
  • , Xunpeng Ma
  • , Ji Bian
  • , Jiaxin Liu
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationInternational Conference on Signal Processing, Computer Networks, and Communications, SPCNC 2022
EditorsHuang Wang
PublisherSPIE
ISBN (Electronic)9781510664616
DOIs
Publication statusPublished - 2023
Externally publishedYes
Event2022 International Conference on Signal Processing, Computer Networks, and Communications, SPCNC 2022 - Zhengzhou, China
Duration: 16 Dec 202317 Dec 2023

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume12626
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference2022 International Conference on Signal Processing, Computer Networks, and Communications, SPCNC 2022
Country/TerritoryChina
CityZhengzhou
Period16/12/2317/12/23

Keywords

  • coherent wind lidar
  • doppler shift
  • signal processing
  • spectrum correction

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