A Probability-Constraint-Based Method for Robust Wind Velocity Estimation in Lidar Doppler Spectrograms With Low Signal-to-Noise Ratio-Reference-Cited by-同舟云学术

A Probability-Constraint-Based Method for Robust Wind Velocity Estimation in Lidar Doppler Spectrograms With Low Signal-to-Noise Ratio

Published:2023 Issue: Volume:61 Page:1-10
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Xu He¹^ORCID,Han Changlin²,Wu Youcao¹,Sun Difeng¹,Wang Xuesong¹,Li Jianbing¹^ORCID

Affiliation:

1. State Key Laboratory of Complex Electromagnetic Environmental Effects on Electronics and Information System, College of Electronic Science and Technology, National University of Defense Technology, Changsha, China

2. College of Intelligence Science, National University of Defense Technology, Changsha, China

Funder

National Natural Science Foundation of China

Hunan Provincial Innovation Foundation for Postgraduate

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10006360/10193792.pdf?arnumber=10193792

Reference31 articles.

1. Adaptive digital filter for the processing of atmospheric lidar signals measured by imaging lidar techniques

2. A Quality Control Method and Implementation Process of Wind Profiler Radar Data

3. Doppler wind lidar data acquisition system and data analysis by empirical mode decomposition method

4. Noise reduction in lidar signal based on discrete wavelet transform

5. Contour detection based on nonclassical receptive field inhibition

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