Design and testing research of LiDAR for detecting atmospheric turbulence

Abstract

Atmospheric turbulence is an important parameter affecting laser atmospheric transmission. This paper reports on a self-developed atmospheric turbulence detection LiDAR system (scanning differential image motion LiDAR (DIM-LiDAR) system). By designing and simulating the optical system of atmospheric turbulence detection LiDAR, the basic optical imaging accuracy has been determined. By designing through electronics, the delay and gating time jitter of the system are kept within a small range, ensuring the accuracy of the sampling thickness of the optical column. The comparison observation results between the scanning DIM-LiDAR system and the ultrasonic anemometer show that both have the same trend of change, and the error is small. Long term observation results indicate that the scanning DIM-LiDAR developed based on optical and electronic design can effectively detect atmospheric turbulence profiles. This paper can provide theoretical and experimental basis for subsequent related research.

References

[1] Lv Y M, Guo J P, Li J, et al.. Spatiotemporal characteristics of atmospheric turbulence over China estimated using operational high-resolution soundings. Environmental research letters, 2021, 16(5): 054050 J]

[2] Fahey T, Islam M, Gardi A. Laser beam atmospheric propagation modelling for aerospace LIDAR applications. Atmosphere, 2021, 12(7): 918 J]

[3] Li M, Zhang P X, Han J W. Methods of atmospheric coherence length measurement. Applied sciences, 2022, 12(6): 2980 J]

[4] Xia H. Turbulence detection in the atmospheric boundary layer using coherent Doppler wind Lidar and microwave radiometer. Remote sensing, 2022, 14(12): 2951 J]

[5] Gordon S, Brooker G. Using Schlieren imaging and a radar acoustic sounding system for the detection of close-in air turbulence. Sensors, 2023, 23(19): 8255 J]

[6] Zhang J, Guo J P, Zhang S, et al.. Inertia-gravity wave energy and instability drive turbulence: evidence from a near-global high-resolution radiosonde data-set. Climate dynamics, 2022, 58(11–12): 3 [J]

[7] Akanksha R, Narendra S, Jaydeep S, et al.. Investigation of atmospheric turbulence and scale lengths using radiosonde measurements of GVAX-campaign over central Himalayan region. Journal of atmospheric and solar-terrestrial physics, 2022, 235: 105895 J]

[8] Zhang H, Zhu L, Sun G, et al.. A multi-model ensemble pattern method to estimate the refractive index structure parameter profile and integrated astronomical parameters in the atmosphere. Remote sensing, 2023, 15(6): 1584 J]

[9] Kornilov V, Safonov B. Wave propagation effect on differential image motion monitor measurements. Monthly notices of the royal astronomical society, 2019, 488: 1273-1281 J]

[10] Aristidi E, Ziad A, Julien C, et al.. A generalized differential image motion monitor. Monthly notices of the royal astronomical society, 2019, 486(1): 915-925 J]

[11] Gimmestad G. Development of a Lidar technique for profiling optical turbulence. Optical engineering, 2012, 51: 1713 J]

[12] Zhou Y, Zhou A, Sun D, et al.. Development of differential image motion LiDAR for profiling optical turbulence. Infrared and laser engineering, 2016, 45(11): 5 [J]

[13] Cheng Z, Jing X, He F, et al.. Denoising differential column image motion Lidar signal using singular value decomposition. Applied Optics and Photonics China, 2017 [C]

[14] Yang H, Qiu D Y, Fang Z Y, et al.. LiDAR technology and experimental research for comprehensive measurement of atmospheric transmittance, turbulence, and wind. Journal of applied remote sensing, 2023, 14(12): 012002 [J]

[15] Pang Y, Zhang K, Bai Z, et al.. Design study of a large-angle optical scanning system for MEMS LIDAR. Applied sciences, 2022, 12(3): 1283 J]

[16] Luan C L, Li Y C, Guo H C. Range-gated LIDAR utilizing a LiNbO3 (LN) crystal as an optical switch. Photonics, 2023, 10(6): 677 J]

[17] Huang F, Qiu S P, Liu H, et al.. Active imaging through dense fog by utilizing the joint polarization defogging and denoising optimization based on range-gated detection. Optics express, 2023, 31(16): 25527-25544 J]

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