A Resolution Enhanced Coherent Doppler Wind Lidar Enabled by Spectrum Deconvolution

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Authors: Yue Zhao, Yunpeng Zhang, Fengxin Xin, Xiaopeng Zhu, Decang Bi, Jiqiao Liu, W. Chen
Cited by: 0
References: 35

Abstract

Spatial resolution is a crucial parameter in wind detection. By treating the measured backscattered spectrum as an image blurred by the system's point spread function (PSF), the image deconvolution method is applied to the coherent Doppler wind lidar (CDWL) systems, achieving spatial resolution beyond the conventional pulse-width limitation. The Wiener deconvolution and a self-supervised SelfDeblur network are employed to effectively mitigate PSF-induced effects. To reduce the crosstalk during the deconvolution, an amplitude correction processing is introduced, addressing the problem of insufficient iterations at low-CNR regions. The effectiveness of these deconvolution methods is validated through comprehensive simulations and experimental demonstrations, confirming the capability of enhancing both spatial resolution and wind field retrieval accuracy.

Fields of Study & Subjects

Advanced Optical Sensing Technologies Adaptive optics and wavefront sensing Atmospheric aerosols and clouds

Publication details

Journal / source
Journal of Lightwave Technology
Volume
44
Issue
8
Pages
2986–2995
Publication date
16 January 2026