A research team led by Prof. DOU Xiankang from the University of Science and Technology of China (USTC) of the Chinese Academy of Sciences realized continuous wind detection at spatial and temporal resolutions of 3 m and 0.1 s for the first time. The study was published in Optics Letters. Pulse coherent Doppler wind LIDAR (PCDWL) is of great importance in aerospace safety and numerical weather forecasting. However, it remains a challenge to achieve wind detection at meter spatial and sub-second temporal resolutions.
In this study, researchers optimized the nanosecond laser, optical antenna, and wind retrieval algorithms, and applied even-order derivative peak sharpening technology (EDPST) algorithms for the first time. The novel algorithm significantly enhanced the accuracy and robustness of wind field observation. As a result, hyperfine PCDWL (HPCDWL) that features eye-safety, lightweight, stability, and environmental adaptability was developed.
It has been verified that the wind detection variance of the LIDAR is below 0.5 m/s compared with that of calibration equipment. Additionally, the LIDAR completed a continuous observation of the wakes of a high-speed train at a spatial and temporal resolution of 3 m and 0.1, respectively, and its detection result was similar to the fluid dynamics simulation.
This study not only achieved the consecutive wind observation with meter-scale and sub-second resolutions, but also made a vital step towards integrating computational fluid dynamics (CFD) and hyperfine wind measurement.
